28 research outputs found

    Yi shan shi ji

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    卷一至三. 五言古詩 -- 卷四至五. 七言古詩 -- 卷六至七. 雜言 -- 卷八. 樂府 -- 卷九. 五言律詩 -- 卷十至十四. 七言律詩 -- 卷十五. 五言絶句 -- 六言絶句 -- 卷十五至二十. 七言絶句.Juan yi zhi san. Wu yan gu shi -- juan si zhi wu. Qi yan gu shi -- juan liu zhi qi. Za yan -- juan ba. Yue fu -- juan jiu. Wu yan lü shi -- juan shi zhi shi si. Qi yan lü shi -- juan shi wu. Wu yan jue ju -- Liu yan jue ju -- juan shi wu zhi er shi. Qi yan jue ju.[元好問].綫裝, 1函.框18.5x14.2公分, 9行19字, 小字雙行同. 白口, 左右雙邊, 無魚尾. 版心上鐫"遺山詩集", 中鐫卷次及葉次, 下鐫汲古閣. 行間有朱墨圈點.前有段成己引 ; 卷末有毛晋跋.見《香港中文大學圖書館古藉善本書錄》(2001, p. 234)鈐有"感舊園客隱", "駱理昌堂所藏經籍", "豪堂藏本", "陶卿田珍藏印", "蕭艾室藏"諸印.Xian zhuang, 1 han.Kuang 18.5 x 14.2 gong fen, 9 hang 19 zi, xiao zi shuang hang tong. Bai kou, zuo you shuang bian, wu yu wei. Ban xin shang juan "Yishan shi ji", zhong juan juan ci ji ye ci, xia juan ji gu ge. Hang jian you zhu mo quan dian.Qian you Duan Chengji yin ; juan mo you Mao Jin ba.Jian "Xianggang Zhong wen da xue tu shu guan gu ji shan ben shu lu" (2001, p. 234)[Yuan Haowen].Qian you "Gan jiu yuan ke yin", "Luo Lichang tang suo cang jing ji", "Hao tang cang ben", "Tao Qingtian zhen cang yin", "Xiao Ai shi cang" zhu yin

    Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach

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    With the rapid development of global trade, ports and terminals are playing an increasingly important role, and automatic guided vehicles (AGVs) have been used as the main carriers performing the loading/unloading operations in automated container terminals. In this paper, we investigate a multi-AGV dynamic scheduling problem to improve the terminal operational efficiency, considering the sophisticated complexity and uncertainty involved in the port terminal operation. We propose to model the dynamic scheduling of AGVs as a Markov decision process (MDP) with mixed decision rules. Then, we develop a novel adaptive learning algorithm based on a deep Q-network (DQN) to generate the optimal policy. The proposed algorithm is trained based on data obtained from interactions with a simulation environment that reflects the real-world operation of an automated in Shanghai, China. The simulation studies show that, compared with conventional scheduling methods using a heuristic algorithm, i.e., genetic algorithm (GA) and rule-based scheduling, terminal the proposed approach performs better in terms of effectiveness and efficiency

    Music recharges people: Synchronized music during aerobic exercise leads to better self-regulation performance.

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    Previous studies have demonstrated that music has a positive effect on individuals during exercise and sports. We speculate that one of the mechanisms for this positive effect may be that music reduces the consumption of self-regulation strength. The primary objective of this study was to use a self-regulation strength model to explain the impact of music on individuals during aerobic exercises. Specifically, we examined the effects of synchronous music on college students' depletion of self-regulation during aerobic exercises. The participants underwent a pre-test in which they had to maintain 50% maximum voluntary contraction (MVC) isometric grip and do exercise planning tasks. For subsequent power bicycle riding (aerobic exercise), the participants were divided into a music group and a control group. The music group performed aerobic exercises with synchronous music, while the control group performed aerobic exercises without music. After aerobic exercise, the participants underwent a post-test for isometric grip and exercise planning tasks. The results showed that the music group planned to reduce their efforts less for an upcoming exercise period (p < 0.01, d = 0.81), and their wrist flexor muscle group generated less electromyographic activation during an isometric grip task that maintained 50% MVC (p < 0.05, d = 0.80) than the control group. However, the two groups showed no difference in the duration of 50% MVC. This shows that: (a) for the same duration, participants in the music group required a lower degree of muscle activation than the control group, suggesting that music reduced the consumption of self-regulation strength in aerobic exercise; and (b) music decreased participants' planned exertion declined, also suggesting that music reduced the consumption of self-regulation strength in aerobic exercise

    Signal Sampling criteria and application of structural monitoring based on amplitude analysis

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    The research explores the influence of sampling frequency on the amplitude analysis error for signals with diverse functional forms, and delineates the approach for ascertaining the optimal sampling frequency for amplitude analysis of signals under dynamic monitoring. A method for determining the sampling frequency of amplitude analysis based on the maximum error criterion is proposed through theoretical derivation of sine function and its composite forms. The correctness of the proposed method is further verified through numerical simulation analysis using MATLAB software. The results indicate that the Nyquist sampling criterion does not meet the precision requirements for amplitude analysis; the impact of odd multiples and even multiples `sampling frequencies on the accuracy of signal amplitude analysis is different; the maximum amplitude error is closely related to the order of the signal; and the even multiples sampling frequency is more reasonable for amplitude analysis. The proposed sampling frequency determination method was applied to the construction of dust removal impact testing system and the fatigue damage analysis of a four-section boom pump truck structure, demonstrating the feasibility of this method in engineering applications. The research in this paper provides theoretical and methodological support for the economic collection and efficient processing of massive condition monitoring signals in engineering practice
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