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Effect of Fertilization on the Maturation of Red Soil Parent Material 施肥对红壤母质成熟的影响
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35104
S. Qu
Red soil is widely distributed in China, with strong acidity and low nutrient content. It needs to be fertilized and improved when planting crops. The effects of Fertilization on the parent material, phosphorus and sulfur elements in red soil were discussed. Six groups of control experiments were set up, in which different fertilizer combinations were used as the base fertilizer of red soil. The organic matter, phosphorus, pH value and crop growth in red soil were observed by planting wheat and corn. The results showed that the mixed application of chemical fertilizer and organic fertilizer could maintain the fertility of red soil and acid and alkali. The control effect of degree is the best. Therefore, in the process of red soil improvement, we should pay attention to the application of organic fertilizer.
红壤在中国分布广泛,酸性强,养分含量低。种植作物时需要施肥改良。讨论了施肥对红壤母质、磷、硫元素的影响。设置6组对照试验,采用不同的施肥组合作为红壤基肥。通过种植小麦和玉米,对红壤的有机质、磷、pH值和作物生长进行了观测。结果表明,有机肥与化肥混施能保持红壤的肥力和酸碱。度的控制效果最好。因此,在红壤改良过程中,要注意有机肥的施用。
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引用次数: 0
New Disturbance Observer Design and Application on the Electro-Optical Stabilized Platforms 新型扰动观测器在光电稳定平台上的设计与应用
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35062
Zhi-qiang Li, Chao Song, Yuliang Zhao, Jie Huang
Aiming at modeling difficulty of the random and time-varying disturbance on the Electro-Optical Stabilized Platforms (EOSPs), a control algorithm of perturbation rejecter + Disturbance Observer (DOB) is proposed by combining the advantage of the rejecter and observer, to improve the robust performance of whole control system and the performance of disturbance suppression. The above control methods are validated in dual-rate loop structure under different friction load and effectively improve the stabilize accuracy of EOSPs. The results show that the compensation strategies of coordinating with one another can constrain effectively the impact of control performance caused by disturbance and load change, and improve the platforms’ stabilization accuracy. According to experimental verification, the control method is effective and applicable in different load conditions, and can provide reference resources and basis for engineering application of the control algorithm.
针对光电稳定平台随机时变扰动建模困难的问题,结合摄动抑制器和观测器的优点,提出了一种摄动抑制器+扰动观测器的控制算法,以提高整个控制系统的鲁棒性和扰动抑制性能。在不同摩擦载荷下的双速率环结构中对上述控制方法进行了验证,有效地提高了eosp的稳定精度。结果表明,相互协调的补偿策略可以有效地约束扰动和负载变化对控制性能的影响,提高平台的稳定精度。经实验验证,该控制方法在不同负荷条件下均有效适用,可为控制算法的工程应用提供参考资源和依据。
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引用次数: 0
Study on the Prevention of Muscle Pain and Injury in Pre-competition Training from the Perspective of DOMS 从DOMS角度研究赛前训练中肌肉疼痛损伤的预防
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35083
Jian Liang, Shijun Xu, Yi Xie, Ge Luo
Objective: Taking DOMS mechanism as the center, tries to find the countermeasures to deal with the muscle pain and prevent the injury in the pre competition training of college games. Methods: 125 students from Guangxi University of science and technology were randomly selected to participate in the training. The data of muscle pain and injury during the training were statistically analyzed. The mechanism of pain and injury was studied from lactate mechanism, glycolysis system, DOMS threshold and other aspects. Results: Muscle pain and injury mainly occur in pre competition training, especially in freshmen. Lack of rest after heavy load is easy to cause muscle pain, DOMS and muscle injury. Conclusion: Pain, DOMS, injury is a gradual process of comprehensive effects of exercise load, energy, material metabolism, etc; controlling load intensity, supplementing water, energy, material, can effectively prevent DOMS, and timely recovery after DOMS can effectively avoid sports injury.
目的:以迟发性肌肉酸痛机制为中心,探讨在高校比赛赛前训练中应对肌肉疼痛、预防损伤的对策。方法:随机抽取广西科技大学125名学生参加培训。对训练过程中肌肉疼痛及损伤情况进行统计分析。从乳酸机制、糖酵解系统、迟发性迟发性肌肉酸痛阈值等方面研究其疼痛损伤机制。结果:肌肉疼痛和损伤主要发生在赛前训练中,尤其是大一新生。大负荷后缺乏休息,容易引起肌肉疼痛、迟发性肌肉酸痛和肌肉损伤。结论:疼痛、迟发性肌肉酸痛、损伤是运动负荷、能量、物质代谢等综合作用的渐进过程;控制负荷强度,补充水分、能量、物质,可以有效预防DOMS,而DOMS后及时恢复可以有效避免运动损伤。
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引用次数: 0
Pricing and Numerical Simulation of Earthquake Catastrophic Bonds under the Semi-Markov Process 半马尔可夫过程下地震灾害债券的定价与数值模拟
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35088
Qi Liang
In recent years, the frequent occurrence of natural disasters and the increasing losses have made the traditional insurance and reinsurance markets insufficient in underwriting capacity. An alternative method for covering these losses is to transfer part of the catastrophic losses to financial market by issuing catastrophe-linked bonds. In this paper, we proposed a contingent claim model for pricing catastrophe risk bonds in a stochastic interest rate environment with the aggregate claims following a two-dimensional semi-Markov process where claims sizes follow heavy-tailed GPD distribution. Then, we estimated the parameters of the pricing model using real earthquake data in China from 1996 to 2017. Finally, we used Monte Carlo simulations to obtain the bond prices, and analyzed the numerical results.
近年来,自然灾害的频繁发生和损失的不断增加,使得传统的保险和再保险市场的承保能力不足。弥补这些损失的另一种方法是通过发行与灾难挂钩的债券,将部分灾难性损失转移到金融市场。本文提出了一个随机利率环境下巨灾风险债券的或有索赔模型,其中总索赔遵循二维半马尔可夫过程,索赔规模遵循重尾GPD分布。然后,利用1996 - 2017年中国实际地震数据估计了定价模型的参数。最后,利用蒙特卡罗模拟法得到债券价格,并对数值结果进行了分析。
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引用次数: 1
Analysis of Competitiveness of High-Tech Industry in Nanjing Based on Porter Diamond Model 基于波特钻石模型的南京市高技术产业竞争力分析
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35096
Ying Wang, Ling Li
Nanjing still faces many problems and challenges in terms of improving scientific and technological innovation capabilities and the development of high-tech industries. In this paper, the competitiveness of Nanjing's high-tech industry is measured by selecting competitiveness indicators to determine the strength of its competitiveness. Porter's six-element diamond model is used to analyze the existing problems in Nanjing's high-tech industry and find effective ways to improve its Competitiveness makes Nanjing's high-tech industry move towards sustainable development.
在提高科技创新能力和发展高新技术产业方面,南京还面临许多问题和挑战。本文通过选择竞争力指标来衡量南京高新技术产业的竞争力,以确定其竞争力的强弱。运用波特的六元钻石模型分析南京高新技术产业存在的问题,寻找提高南京高新技术产业竞争力的有效途径,使南京高新技术产业走向可持续发展。
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引用次数: 4
An Indicator-Based Visible Light Communication System Embedding on Operating Systems: Signal Design and Experimental Verification 一种嵌入操作系统的基于指示器的可见光通信系统:信号设计与实验验证
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35051
Xinchi Rong, Chao Wang, Jiawei Ren, Yi-jun Zhu
Light emitting diode(LED) sources are massively distributed in the computers, display screens and other industrial electronics terminal devices, which not only indicate device status, but can also be used for information transmission. This paper takes a hard drive disk LED indicator embedded on a personal computer as example for statistical analysis. However, due to the fact that we cannot skip the operating system to control the indicators directly, the problem of clock drift is particularly serious. In response, we put forward our scheme of pulse width long-short-key modulation instead of traditional on-off-keying (OOK) modulation, which is optimized by simulation and verified by hardware experiment subsequently. As is indicated in the experiment, our modulation is superior to traditional OOK scheme at the same average data rate. Based on the analysis above, programming interfaces of sending and receiving terminals are designed to transmit real-time messages, files, or voice signal.
发光二极管(LED)光源大量分布在计算机、显示屏等工业电子终端设备中,它不仅可以指示设备状态,还可以用于信息传输。本文以个人电脑内嵌的硬盘LED指示灯为例进行统计分析。但是,由于我们不能跳过操作系统直接控制指标,时钟漂移的问题就显得尤为严重。为此,我们提出了一种脉宽长-短键调制方案来代替传统的开-关键调制,并通过仿真对该方案进行了优化,随后通过硬件实验进行了验证。实验表明,在相同的平均数据速率下,我们的调制优于传统的OOK方案。基于以上分析,设计发送端和接收端的编程接口,实现实时消息、文件或语音信号的传输。
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引用次数: 0
Ethical Issues in Flexible Welfare Systems 弹性福利制度中的伦理问题
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35073
Shihong Xiao
Most of the benefits of the flexible welfare system will include some of the welfare items that companies must provide or ethically should provide. These benefits, which are operated in accordance with social norms, are forcibly incorporated into the market norms by “points” exchange, limiting employees’ rights. There are ethical issues in the flexible welfare system of enterprises.
弹性福利制度的大部分福利将包括企业必须提供或道德上应该提供的一些福利项目。这些按照社会规范运作的福利,通过“积分”交换被强行纳入市场规范,限制了员工的权利。企业弹性福利制度存在伦理问题。
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引用次数: 0
Research on the Influence of Artificial Intelligence on Economy and Society 人工智能对经济和社会的影响研究
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35030
Congwei Han, Ling Cao, Y. Yang
Abstract. The history of social development is the history of technological progress. Social development provides a good external environment for AI, and AI promotes social development. This paper analyzes the social system from a macro perspective, and studies the impact of artificial intelligence on the economic, employment, legal, life and ethical issues in the social system, as well as the relationship between the various elements. The fuzzy cognitive map (FCM) model is constructed through expert investigation, and the evolution of reasoning simulates the changing trend of social state. Finally, the profound impact of the development of artificial intelligence on the society is elaborated from different perspectives, which provides reference for the government, enterprises and institutions and teenagers to cope with future challenges.
摘要社会发展的历史就是技术进步的历史。社会发展为人工智能提供了良好的外部环境,人工智能促进社会发展。本文从宏观角度对社会系统进行分析,研究人工智能对社会系统中经济、就业、法律、生活、伦理等问题的影响,以及各要素之间的关系。通过专家调查构建模糊认知图(FCM)模型,推理演化模拟社会状态的变化趋势。最后,从不同的角度阐述人工智能的发展对社会的深刻影响,为政府、企事业单位和青少年应对未来的挑战提供参考。
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引用次数: 0
A Robust Correlation Filtering Tracker with Resampling-Detection and Adaptive Fusion Multi-features 具有重采样检测和自适应融合多特征的鲁棒相关滤波跟踪器
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35029
Yong Lu, Mingbin Wang
Recently, correlation filter is widely used in visual tracking for its robust and accuracy. However, it is still a challenge in tracking with complex situations such as target blurring, occlusion, and scale variation. In this paper, a correlation filter-based tracker with resampling-detection and scale estimation is proposed. We use multiple features with adaptive fusion to describe the target appearance, and resampling-detection module will be performed on the frame which tracking confidence determined by PSR is lower than a threshold. Besides, scale pyramid is introduced to estimate the scale. The extensive experimental evaluates on the OTB benchmark and results show that our approach outperforms the baseline trackers and has excellent performance in accuracy and robust, especially on the challenge of fast motion and motion blur. Additionally, our approach is computationally efficient and suitable for real-time applications.
近年来,相关滤波器以其鲁棒性和准确性被广泛应用于视觉跟踪中。然而,在目标模糊、遮挡、尺度变化等复杂情况下的跟踪仍然是一个挑战。提出了一种具有重采样检测和尺度估计功能的基于相关滤波器的跟踪器。采用自适应融合的多特征描述目标外观,对PSR确定的跟踪置信度小于阈值的帧进行重采样检测模块。此外,还引入了尺度金字塔来估计尺度。在OTB基准上进行了大量的实验评估,结果表明我们的方法优于基线跟踪器,在精度和鲁棒性方面具有优异的性能,特别是在快速运动和运动模糊的挑战方面。此外,我们的方法计算效率高,适合实时应用。
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引用次数: 0
K-Partition Ensemble Multi-label Classifier for Insurance Purchase Prediction 保险购买预测的k -划分集成多标签分类器
Pub Date : 2020-10-06 DOI: 10.12783/dtetr/mcaee2020/35091
Jiayu Zhou, Yong Guo, Yanqing Ye, Jiang Jiang
Individual insurance purchase prediction can help effectively and accurately advertise to maximize sales. Most current insurance purchase prediction model only considers whether a customer will buy certain insurance. In this way, the prediction will be time-consuming with the rapid growth of the number of insurance products. In order to provide more effective and efficient marketing methods for insurance companies, this work proposes a K-Partition Ensemble Multi-Label classification model to predict the customer’s possible future insurance purchase. First, by transforming the insurance purchase prediction problem into a multi-label classification problem, the balance between features and labels of data division in the insurance purchasing dataset is explored. Second, a k-partition ensemble multi-label classification model is introduced, where each distinct label constitutes in the training set as a new category of a single-label classification task, and the random forest is used for multi-class classification. The empirical test is carried out using the Insurance Company Case data from CoIL Challenge 2000. We find prediction classifiers perform the best when the number of labels is around 20. Empirical evidence indicates that our model manages to improve substantially over other 3 classical multi-label classification algorithms with relatively little time, especially in domains with a large number of labels. The research results also provide a new idea and useful reference for the application in specific fields construction of data models based on the multi-label evaluation.
个人保险购买预测可以帮助有效、准确地进行广告宣传,实现销售最大化。目前大多数保险购买预测模型只考虑客户是否会购买某种保险。这样,随着保险产品数量的快速增长,预测将非常耗时。为了给保险公司提供更有效和高效的营销方法,本文提出了一个K-Partition Ensemble Multi-Label分类模型来预测客户未来可能的保险购买行为。首先,通过将保险购买预测问题转化为多标签分类问题,探索保险购买数据集中数据划分的特征与标签之间的平衡;其次,引入k划分集成多标签分类模型,其中每个不同的标签在训练集中构成一个单标签分类任务的新类别,并使用随机森林进行多类分类。实证检验采用线圈挑战2000年的保险公司案例数据。我们发现,当标签数量在20左右时,预测分类器的表现最好。经验证据表明,与其他3种经典多标签分类算法相比,我们的模型在相对较少的时间内取得了实质性的改进,特别是在标签数量较多的领域。研究结果也为基于多标签评价的数据模型构建在特定领域的应用提供了新的思路和有益的参考。
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引用次数: 0
期刊
DEStech Transactions on Engineering and Technology Research
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