To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduc...To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduce complexity and capture inherent characteristics more effectively.Gated residual connections are then employed to selectively propagate salient features across layers,while an attention mechanism focuses on identifying prominent patterns in multivariate time-series data.Ultimately,a pre-trained structure is incorporated to reduce computational complexity.Experimental results based on extensive data show that the proposed scheme achieves improved prediction accuracy over comparative algorithms by at least 32.00%consistently across all buses evaluated,and the fitting effect of holiday load curves is outstanding.Meanwhile,the pre-trained structure drastically reduces the training time of the proposed algorithm by more than 65.75%.The proposed scheme can efficiently predict bus load results while enhancing robustness for holiday predictions,making it better adapted to real-world prediction scenarios.展开更多
Aim To study the rules governing pressure distribution of traveling charge under the condition of Lagrange hypothesis. Methods\ The study is based on the laws of conservation of momentum and energy. Results\ The gas ...Aim To study the rules governing pressure distribution of traveling charge under the condition of Lagrange hypothesis. Methods\ The study is based on the laws of conservation of momentum and energy. Results\ The gas flow velocity distribution formula at the back of a projectile and the momentum equation of a traveling charge are deduced, and rules governing their pressure distribution under the Lagrange hypothesis conditions are established. The pressure distribution of a traveling charge is compared with that of a conventional charge. Conclusion\ The pressure distribution in the bore of a traveling charge can be accurately predicted. A parabolic pressure distribution type is revealed.展开更多
Holiday Tourism Circle of Beijing (HTCB) is one of the nine key regions of Chinese tourism industry in the period of the 11th Five-Year Project. According to Tourist Marginal Utility Theory, Time-Distance Method is us...Holiday Tourism Circle of Beijing (HTCB) is one of the nine key regions of Chinese tourism industry in the period of the 11th Five-Year Project. According to Tourist Marginal Utility Theory, Time-Distance Method is used to define HTCB in this paper. Chengde City, famous for its cultural tourism, is regard as one of the regions in Holiday Tourism Circle of Beijing. And this geographical advantage, in the context of the boom of tourism in China, is featured by the changes of tourist product structure and development model. In this paper, the influence upon Chengde tourism spatial structure has been discussed from tourist market, location and transportation. Chengde tourism spatial structure has been rebuilt with particular references to the factors of tourism destination district, tourist area, nodes, routes, and origin markets. In this paper, Chengde will develop tourism industry with the central heritage area as the center and northern forest and pasture area and southern mountain and lake area as the two wings.展开更多
文摘To tackle the problem of inaccurate short-term bus load prediction,especially during holidays,a Transformer-based scheme with tailored architectural enhancements is proposed.First,the input data are clustered to reduce complexity and capture inherent characteristics more effectively.Gated residual connections are then employed to selectively propagate salient features across layers,while an attention mechanism focuses on identifying prominent patterns in multivariate time-series data.Ultimately,a pre-trained structure is incorporated to reduce computational complexity.Experimental results based on extensive data show that the proposed scheme achieves improved prediction accuracy over comparative algorithms by at least 32.00%consistently across all buses evaluated,and the fitting effect of holiday load curves is outstanding.Meanwhile,the pre-trained structure drastically reduces the training time of the proposed algorithm by more than 65.75%.The proposed scheme can efficiently predict bus load results while enhancing robustness for holiday predictions,making it better adapted to real-world prediction scenarios.
文摘Aim To study the rules governing pressure distribution of traveling charge under the condition of Lagrange hypothesis. Methods\ The study is based on the laws of conservation of momentum and energy. Results\ The gas flow velocity distribution formula at the back of a projectile and the momentum equation of a traveling charge are deduced, and rules governing their pressure distribution under the Lagrange hypothesis conditions are established. The pressure distribution of a traveling charge is compared with that of a conventional charge. Conclusion\ The pressure distribution in the bore of a traveling charge can be accurately predicted. A parabolic pressure distribution type is revealed.
文摘Holiday Tourism Circle of Beijing (HTCB) is one of the nine key regions of Chinese tourism industry in the period of the 11th Five-Year Project. According to Tourist Marginal Utility Theory, Time-Distance Method is used to define HTCB in this paper. Chengde City, famous for its cultural tourism, is regard as one of the regions in Holiday Tourism Circle of Beijing. And this geographical advantage, in the context of the boom of tourism in China, is featured by the changes of tourist product structure and development model. In this paper, the influence upon Chengde tourism spatial structure has been discussed from tourist market, location and transportation. Chengde tourism spatial structure has been rebuilt with particular references to the factors of tourism destination district, tourist area, nodes, routes, and origin markets. In this paper, Chengde will develop tourism industry with the central heritage area as the center and northern forest and pasture area and southern mountain and lake area as the two wings.
