创设支持性活动环境培养幼儿音乐节奏感     

迟艳杰 《呼伦贝尔学院学报》2010,18(1):67-69

节奏被称作音乐的骨骼,是音乐情绪和风格的重要表现手段,培养幼儿的节奏感,可以使幼儿体验感受节奏在音乐艺术中的情绪,感受节奏美。本文从支持性物质活动环境的创设和支持性精神活动环境的创设两个方面进行研究,旨在促进幼儿教师在教学过程中能够自觉地创设支持性活动环境,进而使幼儿在这种轻松愉快的环境中,更好的开发其音乐节奏感潜质。  相似文献   

解读Devitt和Sterelny对建构主义的批判     

迟腾飞 《辽宁教育行政学院学报》2010,27(3):4-7

Devittt[1]以自然主义观点的立场,选择第一哲学作为切入点,对建构主义进行了批判.Devitt认为,建构主义的错误在于"从语言的指称观点出发,混淆了世界和关于世界的说法的区别."这里着重介绍自然主义的捍卫者 Devitt & Sterenly 对建构主义的哲学批判,使建构主义的研究者们得以从理论的哲学源头对其重新审视,以期有所裨益.  相似文献   

晚清以来鄂北秘密社会的演变     

张弛 《安庆师范学院学报(社会科学版)》2006,25(6):48-51

晚清以来,中国社会发生了巨大的变化,鄂北的秘密社会也经历了由兴盛到分化、衰落、最终走向覆灭的过程。在各个阶段,中国社会的社会矛盾和主要任务不同,而秘密社会“反社会”的破坏性始终没变,使得他们的活动由具有一定积极、进步意义的反封建、反侵略性质,转而走向反国家、反人民。可以说,正是秘密社会自身“反社会”的实质,决定了其自身的命运。  相似文献   

Ajax安全性问题及对策     

李驰 《宜宾师范高等专科学校学报》2013,(12):72-76,87

系统全面地分析了Ajax应用程序的安全隐患,包括Ajax程序对传统Web程序中存在的一些安全隐患如SQL注入攻击、跨站脚本攻击XSS、跨站请求伪造攻击CSRF等进一步加重以及新增的如JSON注入、JSON劫持等额外的安全隐患,对每种情况作了具体的分析,给出了对应的解决方法.并针对Ajax程序本身的特点,给出了一个以严格输入验证和Web入侵检测为总体指导思想的解决策略.  相似文献   

鲁宾孙的个人需要和自我实现     

张弛 《怀化学院学报》2013,(4):79-81

美国心理学家亚伯拉罕.马斯洛将人类需要从总体上分成基本需要和成长性需要两大类,其下面根据对人直接生存意义及生活意义的大小按层次排列为生理、安全、爱和归属、尊重、认知、审美、自我实现七种需要,即"需要层次"理论,它是解释人类个体行为的良好工具。丹尼尔.笛福的代表作品《鲁宾孙漂流记》记叙了主人公鲁宾孙的传奇经历。笔者认为,鲁宾孙人生的每一阶段无不对应着马斯洛对于人类需要的理解。借需要层次理论,对鲁宾孙的行为与形象进行全新的解读,提出鲁宾孙是资产阶级自我实现个人主义"本性"的典型代表。  相似文献   

2013年我国情报学研究进展     

迟玉琢 《山东图书馆季刊》2014,(6):8-13

基于我国情报学的主要研究成果,概述2013年我国情报学在情报学理论、信息检索、情报分析与研究、信息服务、信息计量等情报学主要研究领域的研究进展。  相似文献   

浅谈高校图书馆向社会开放的原则及策略     

迟银环 《鸡西大学学报》2013,(7):153-154

随着信息时代的到来,高校图书馆向社会开放已经具备了一定的条件。结合国内外高校图书馆已有的开放经验,重点阐述了现阶段我国高校图书馆在此方面应该掌握的原则及方法,并根据现有国情提出了自己的一些建议。  相似文献   

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control     

Na Lin  Ronghu Chi  Biao Huang  Zhongsheng Hou 《Journal of The Franklin Institute》2019,356(1):457-473

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.  相似文献   

Data-driven optimal switching of switched systems     

Minggang Gan  Chi Zhang  Jingang Zhao 《Journal of The Franklin Institute》2019,356(10):5193-5221

Switched systems are complicated due to the switching among the subsystems. When the subsystem models are unknown, control problems on switched systems turn to be more intractable. In this paper, the optimal switching problems are investigated for continuous-time switched autonomous systems with unknown dynamics and a finite-horizon cost function. Firstly, a novel data-driven optimal scheduling approach is proposed based on the estimated insertion gradients. Secondly, aiming at switched systems with a prescribed switching sequence, a data-driven optimal switching time approach is proposed based on the estimated derivatives of the cost with respect to the switching times. The two approaches take advantages of plenty state data containing necessary information instead of the system models. Furthermore, the errors of the approaches are analysed and bounded. Finally, simulation results of two examples are given to show the validity of the two approaches.  相似文献   

Networked H∞ filtering for Takagi–Sugeno fuzzy systems under multi-output multi-rate sampling     

Xiaobo Chi  Xinchun Jia  Fangqin Cheng  Maohong Fan 《Journal of The Franklin Institute》2019,356(6):3661-3691

This paper studies networked H_∞ filtering for Takagi–Sugeno fuzzy systems with multi-output multi-sensor asynchronous sampling. Different output variables in a dynamic system are sampled by multiple sensors with different sampling rates. To estimate the signals of such a system, a continuous multi-rate sampled-data fusion method is proposed to design a novel networked filter. By considering a class of decentralized event-triggered transmission schemes, multi-channel network-induced delays, and the updating modes of the MOMR sampled-data, a networked jumping fuzzy filter is proposed to estimate system signals based on the transmitted multi-rate sampled-data of fuzzy system and the multi-rate sampled states of filter, and the jumping among filter modes is governed by a Markov process which depends on the arrival times of sampled output sub-vectors. To deal with asynchronous membership functions, the networked fuzzy filtering system is modeled as an uncertain fuzzy stochastic system with membership function deviation bounds. Based on stability and H_∞ performance analysis, several membership-function-dependent conditions are presented to co-design the event-triggered transmission schemes and the fuzzy filter such that the filtering error system is robustly mean-square exponentially stable with a prescribed H_∞ attenuation level. Finally, the improvement in estimation performance and comparison with the existing filtering methods are discussed through simulation examples.  相似文献