Unrolled Graph Learning for Multi-Agent Collaboration

Multi-agent learning has gained increasing attention to tackle distributed machine learning scenarios under constrictions of data exchanging. However, existing multi-agent learning models usually consider data fusion under fixed and compulsory collaborative relations among agents, which is not as flexible and autonomous as human collaboration. To fill this gap, we propose a distributed multi-agent learning model inspired by human collaboration, in which the agents can autonomously detect suitable collaborators and refer to collaborators' model for better performance. To implement such adaptive collaboration, we use a collaboration graph to indicate the pairwise collaborative relation. The collaboration graph can be obtained by graph learning techniques based on model similarity between different agents. Since model similarity can not be formulated by a fixed graphical optimization, we design a graph learning network by unrolling, which can learn underlying similar features among potential collaborators. By testing on both regression and classification tasks, we validate that our proposed collaboration model can figure out accurate collaborative relationship and greatly improve agents' learning performance

Impacts of Cultivated Land Reclamation on the Climate and Grain Production in Northeast China in the Future 30 Years

China, as a large agricultural country as well as a major country with great demand for grain, has played a more and more important role in the international grain market. As Northeast China is one of the major commodity grain bases in China as well as one of the regions with the highest intensity of human activities, it plays an important role in influencing the global food security. This study first generally analyzed the cultivated land reclamation and the climate change of temperature and precipitation in Northeast China during 2000–2010. Then, on the basis of these data, the climatic effects of cultivated land reclamation in Northeast China during 2030–2040 were simulated by the weather research forecast (WRF) model. Finally, the possible effects of the climate change on the grain yield and the potential influence on the food security were analyzed. The simulation result indicated that the temperature in Northeast China would be increasing on the whole, while the precipitation would be decreasing. The result of this study can provide some theoretical support to the agricultural economic development in Northeast China and serve the national macropolicy and food security strategy of the whole China

Research on Spraying Quality Prediction Algorithm for Automated Robot Spraying Based on KHPO-ELM Neural Network

In the intelligent transformation of spraying operations, the investigation into the robotic spraying process holds significant importance. The spraying process, however, falls within the realm of experience-driven technology, characterized by high complexity, diverse parameters, and coupling effects. Moreover, the quality of manual spraying processes relies entirely on manual experience. Thus, the crux of the intelligent transformation of spraying robots lies in establishing a mapping model between the spraying process and the resultant spraying quality. To address the challenge of intelligently transforming empirical spraying processes and achieving the mapping from the spraying process to spraying quality, an algorithm employing an enhanced extreme learning machine-based neural network is proposed for predicting spraying process parameters with respect to the evaluation index of spraying quality. In this approach, an algorithmic model based on the Extreme Learning Machine (ELM) neural network is initially constructed utilizing five spraying process parameters: spraying speed, spraying height, spraying width pressure, atomization pressure, and oil spraying pressure. Two spraying quality evaluation indexes, namely average film thickness at the center point and surface roughness, are also incorporated. Subsequently, the prediction neural network is optimized using the K-means improved predator optimization algorithm (KHPO) to enhance the model’s prediction accuracy. This optimization step aims to improve the efficiency of the model in predicting spraying quality based on the specified process parameters. Finally, data collection and model validation for the spraying quality prediction algorithm are conducted using a designed robotic automated waterborne paint spraying experimental system. The experimental results demonstrate a significant reduction in the prediction error of the KHPO-ELM neural network model for the average film thickness center point, showcasing a decrease of 61.95% in comparison to the traditional ELM neural network and 50.81% in comparison to the BP neural network. Likewise, the improved neural network model yields a 2.31% decrease in surface roughness prediction error compared to the traditional ELM neural network and a substantial 54.0% reduction compared to the BP neural network. Consequently, the KHPO-ELM neural network, incorporating the prediction algorithm, effectively facilitates the prediction of multi-spraying process parameters for the center point of average film thickness and surface roughness in automated robot spraying. Notably, the prediction algorithm exhibits a commendable level of accuracy in these predictions

セイセイインエンデン ダイ25カイ ヤクチュウ ソノ ヨン

Xingshi Yinyuan Zhuan is a full-length novel with 100 rounds, written in Shangdong dialect. Its writer is from Shangdong Province but his name and life story still remain unknown. We annotate the words/phrases in the novel and include 'comparison' this time. Modern Chinese Research Class students from Kumamoto University are investigating all the words/phrases occurring in the representative works produced in northern mandarin area in Qing Dynasty and currently are working on all the words/phrases from Xingshi Yinyuan Zhuan. That is to say, the essay aims to expound 'the rate of a certain word/phrase corresponding to its meaning', and researches on the quantitative linguistics with figures counting frequencies. Textual Research of Xingshi Yinyuan Zhuan from Hu Shi (1993) and Huang Suqiu (1981) contributes greatly to the annotation. Recently the Historical Evolution of the Dialect of Xingshi Yinyuan Zhuan (Chao Rui, 2014) and Dialect Vocabulary Dictionary of Xingshi Yinyuan Zhuan (Hitoshi Ueda, 2016) have been published one by one

セイセイインエンデン ダイ25カイ ヤクチュウ ソノ サン

Xingshi Yinyuan Zhuan is a full-length novel with 100 rounds, written in Shangdong dialect. Its writer is from Shangdong Province but his name and life story still remain unknown. We annotate the words/phrases in the novel and include 'comparison' this time. Modern Chinese Research Class students from Kumamoto University are investigating all the words/phrases occurring in the representative works produced in northern mandarin area in Qing Dynasty and currently are working on all the words/phrases from Xingshi Yinyuan Zhuan. That is to say, the essay aims to expound 'the rate of a certain word/phrase corresponding to its meaning', and researches on the quantitative linguistics with figures counting frequencies. Textual Research of Xingshi Yinyuan Zhuan from Hu Shi (1993) and Huang Suqiu (1981) contributes greatly to the annotation. Recently the Historical Evolution of the Dialect of Xingshi Yinyuan Zhuan (Chao Rui, 2014) and Dialect Vocabulary Dictionary of Xingshi Yinyuan Zhuan (Hitoshi Ueda, 2016) have been published one by one

セイセイインエンデン ダイ30カイ ヤクチュウ ソノ ニ

Xingshi Yinyuan Zhuan is a full-length novel with 100 chapters, written in Shangdong dialect. Its writer is from Shangdong Province but his name and life story still remain unknown. We annotate the words/ phrases the novel and include ‘comparison’ this time. Modern Chinese Research Class students from Kumamoto University are investigating all the words/phrases occurring in the representative works produced in northern mandarin area in Qing Dynasty and currently are working on all the words/phrases from Xingshi Yinyuan Zhuan . That is to say, the essay aims to expound ‘the rate of a certain word/ phrase corresponding to its meaning’, and researches on the quantitative linguistics with figures counting frequencies. Textual Research of Xingshi Yinyuan Zhuan from Hu Shi(1993) and Huang Suqiu (1981) contribute greatly to the annotation. Recently the Historical Evolution of the Dialect of Xingshi Yinyuan Zhuan (Chao Rui, 2014) and Dialect Vocabulary Dictionary of Xingshi Yinyuan Zhuan (Hitoshi Ueda, 2016) have been published one by one