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初中地理“图导图练教学法”简介
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作者 王庭权 《中小学教学研究》 2001年第2期33-33,共1页
一、图导图练教学法的基本涵义 图导图练教学法是指充分发挥教师的主导作用和地图的教学功能,指导学生通过动眼识图,动脑析图,动手绘图、填图,动口说图等多项措施的训练过程,学习和巩固地理知识,培养学生用图的习惯以及发展地理智能和... 一、图导图练教学法的基本涵义 图导图练教学法是指充分发挥教师的主导作用和地图的教学功能,指导学生通过动眼识图,动脑析图,动手绘图、填图,动口说图等多项措施的训练过程,学习和巩固地理知识,培养学生用图的习惯以及发展地理智能和实践能力. 展开更多
关键词 初中 地理教学 图练教学法 教学功能 地理智能 实践能力
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浅谈地理“图导图练教学法”的应用
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作者 赵玉梅 杨桂英 《赤峰学院学报(自然科学版)》 2009年第1期199-200,共2页
在地理教学中,地理和地图的关系十分密切,地图可以确定地理事物的地理位置,表示各种地理作用事物的形态,阐明地理事物的分布,有利于培养学生观察、想象和思维的能力,并进行素质教育.利用地图进行教学是地理教学最重要的方法,最突出的特... 在地理教学中,地理和地图的关系十分密切,地图可以确定地理事物的地理位置,表示各种地理作用事物的形态,阐明地理事物的分布,有利于培养学生观察、想象和思维的能力,并进行素质教育.利用地图进行教学是地理教学最重要的方法,最突出的特点,而"图导图练教学法"在教学过程中充分利用地图,是一种良好的教学方法. 展开更多
关键词 地理 图练教学法
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加强图导图练 提高地理课堂有效性
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作者 卓銮希 《福建教育学院学报》 2015年第3期90-92,共3页
新课程理念强调学生是主体,教师是主导的地位,图导图练教学法,通过动眼看图,动脑析图,动手绘图,动口说图等多项训练,充分调动学生的主观能动性,使学生摆脱传统被动受教的地位,真正成为学习的主人,从而提高地理课堂教学有效性。
关键词 图练 地理 课堂有效性
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高中地理新教材图导图解图变图练(连载)
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作者 郭学惠 周益新 《中学地理教学参考》 北大核心 2002年第4期38-41,共4页
关键词 地理教学 新版教材 高中 图练
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高中地理新教材图导图解图变图练(连载) 第六单元人类的居住地与地理环境
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作者 郭学惠 周益新 《中学地理教学参考》 北大核心 2002年第3期40-45,共6页
关键词 高中 地理教材 导教学 解教学 变教学 图练教学
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思维导图协同研练教学实践研究——主体教育论的视角 被引量:1
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作者 高涛 《广东技术师范学院学报》 2015年第10期8-11,共4页
主体教育论尊重学生的主体地位,可很好地激发学生学习的主动性和创造性。思维导图研练教学模式遵循主体教育论的理念,学生主体的自主性、主动性、创造性和社会性都得到了良好发展。思维导图协同研练实践教学激发了学生主体学习兴趣,提... 主体教育论尊重学生的主体地位,可很好地激发学生学习的主动性和创造性。思维导图研练教学模式遵循主体教育论的理念,学生主体的自主性、主动性、创造性和社会性都得到了良好发展。思维导图协同研练实践教学激发了学生主体学习兴趣,提供了科学学习方法;促进学生主体产生新观点,有助于形成知识框架体系;方便教师主体呈现知识,有助于教学效果的提升;有效提升学生主体团队意识,促进协同能力的培养。 展开更多
关键词 主体教育论 思维导协同研 教学研究
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平衡的支点——“一图多练”在高校速写教学中的优势与弊端
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作者 刘晓峰 任梅 《美术大观》 2015年第6期146-147,共2页
本文总结出"一图多练"模式在高校速写教学中的优点弊端,以此提出四点可行性建议。为速写教学提供了资料和借鉴。
关键词 高校 速写 艾宾浩斯记忆遗忘曲线 平衡 支点
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“一图多练”和“多图一练”
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作者 谢宗福 《中学生物学》 2009年第7期56-58,共3页
通过1个图表,既能对相关知识点进行复习,又能对多个无关知识点进行复习;通过4个图表对细胞呼吸的概念、过程、场所、物质和能量变化等进行综合练习,训练和培养了学生获取信息的能力、图表分析能力,体现了新课标下“注重培养学生学... 通过1个图表,既能对相关知识点进行复习,又能对多个无关知识点进行复习;通过4个图表对细胞呼吸的概念、过程、场所、物质和能量变化等进行综合练习,训练和培养了学生获取信息的能力、图表分析能力,体现了新课标下“注重培养学生学习能力”的要求。 展开更多
关键词 生物学教学
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国内低氧训练研究现状的可视化分析 被引量:1
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作者 李志刚 林文弢 《体育科研》 2018年第1期56-65,共10页
为了深入分析国内低氧训练研究的现状,运用CiteSpaceⅢ和CNKI的可视化功能对近20年来发表在国内体育核心期刊上有关低氧训练的文献进行计量学统计和可视化分析。结果表明,总体研究趋势以2008年为顶点呈正态分布,国内形成了凸显的科研力... 为了深入分析国内低氧训练研究的现状,运用CiteSpaceⅢ和CNKI的可视化功能对近20年来发表在国内体育核心期刊上有关低氧训练的文献进行计量学统计和可视化分析。结果表明,总体研究趋势以2008年为顶点呈正态分布,国内形成了凸显的科研力量。研究的热点主题包括低氧训练方式的多样化,低氧训练的监控,提高运动员的有氧和无氧能力,对机体的免疫力、认知功能的影响,在控重减肥中的应用,低氧训练干预下的氧化应激和细胞凋亡情况,低氧训练习服与基因多态性的关系,低氧训练对机体作用的分子机理的探讨等方面。新的低氧训练方式的应用、低氧训练的健康促进功能、低氧训练的分子机理的探讨和学科交叉成为今后的研究趋势。 展开更多
关键词 低氧训 知识 可视化 方式 研究热点 发展趋势
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Region-Aware Fashion Contrastive Learning for Unified Attribute Recognition and Composed Retrieval
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作者 WANG Kangping ZHAO Mingbo 《Journal of Donghua University(English Edition)》 CAS 2024年第4期405-415,共11页
Clothing attribute recognition has become an essential technology,which enables users to automatically identify the characteristics of clothes and search for clothing images with similar attributes.However,existing me... Clothing attribute recognition has become an essential technology,which enables users to automatically identify the characteristics of clothes and search for clothing images with similar attributes.However,existing methods cannot recognize newly added attributes and may fail to capture region-level visual features.To address the aforementioned issues,a region-aware fashion contrastive language-image pre-training(RaF-CLIP)model was proposed.This model aligned cropped and segmented images with category and multiple fine-grained attribute texts,achieving the matching of fashion region and corresponding texts through contrastive learning.Clothing retrieval found suitable clothing based on the user-specified clothing categories and attributes,and to further improve the accuracy of retrieval,an attribute-guided composed network(AGCN)as an additional component on RaF-CLIP was introduced,specifically designed for composed image retrieval.This task aimed to modify the reference image based on textual expressions to retrieve the expected target.By adopting a transformer-based bidirectional attention and gating mechanism,it realized the fusion and selection of image features and attribute text features.Experimental results show that the proposed model achieves a mean precision of 0.6633 for attribute recognition tasks and a recall@10(recall@k is defined as the percentage of correct samples appearing in the top k retrieval results)of 39.18 for composed image retrieval task,satisfying user needs for freely searching for clothing through images and texts. 展开更多
关键词 attribute recognition image retrieval contrastive language-image pre-training(CLIP) image text matching transformer
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Training image analysis for three-dimensional reconstruction of porous media
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作者 滕奇志 杨丹 +2 位作者 徐智 李征骥 何小海 《Journal of Southeast University(English Edition)》 EI CAS 2012年第4期415-421,共7页
In order to obtain a better sandstone three-dimensional (3D) reconstruction result which is more similar to the original sample, an algorithm based on stationarity for a two-dimensional (2D) training image is prop... In order to obtain a better sandstone three-dimensional (3D) reconstruction result which is more similar to the original sample, an algorithm based on stationarity for a two-dimensional (2D) training image is proposed. The second-order statistics based on texture features are analyzed to evaluate the scale stationarity of the training image. The multiple-point statistics of the training image are applied to obtain the multiple-point statistics stationarity estimation by the multi-point density function. The results show that the reconstructed 3D structures are closer to reality when the training image has better scale stationarity and multiple-point statistics stationarity by the indications of local percolation probability and two-point probability. Moreover, training images with higher multiple-point statistics stationarity and lower scale stationarity are likely to obtain closer results to the real 3D structure, and vice versa. Thus, stationarity analysis of the training image has far-reaching significance in choosing a better 2D thin section image for the 3D reconstruction of porous media. Especially, high-order statistics perform better than low-order statistics. 展开更多
关键词 three-dimensional reconstruction training image stationarity porous media multiple-point statistics
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怎样学好初中英语语法
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作者 孙传秀 《神州》 2013年第35期119-119,共1页
学习语法与学习生词相似,都要in context地学。死记硬背单词没有用处,因为你不懂单词的用法,也不清楚其应用的场合以及语气。同样地,像背诵公式般死记什么名词关系从句,什么分词修饰语,即便词序和结构都懂了,写作时真的用得着吗... 学习语法与学习生词相似,都要in context地学。死记硬背单词没有用处,因为你不懂单词的用法,也不清楚其应用的场合以及语气。同样地,像背诵公式般死记什么名词关系从句,什么分词修饰语,即便词序和结构都懂了,写作时真的用得着吗?用得对吗?例如许多人写出的倒装句,十有八九会出错。并非结构出错,而是运用不当。 展开更多
关键词 英语教学 语法教学 图练结合
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遗传定律的“一图多练”
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作者 于国星 《生物学通报》 2007年第3期29-30,共2页
通过一幅遗传图解和围绕遗传图解编制的一道综合练习题,对遗传定律和伴性遗传的20多个概念和定律实质等知识进行了活化,通过对10种杂交后代的设疑、5种杂交方式的引用、育种相关内容的综合设问,训练和培养了学生灵活运用知识和分析解决... 通过一幅遗传图解和围绕遗传图解编制的一道综合练习题,对遗传定律和伴性遗传的20多个概念和定律实质等知识进行了活化,通过对10种杂交后代的设疑、5种杂交方式的引用、育种相关内容的综合设问,训练和培养了学生灵活运用知识和分析解决问题的能力,体现了新课程实施中“注重培养学生学习能力”的要求。 展开更多
关键词 遗传定律 综合题 杂交方式
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Sub-pixel mapping method based on BP neural network 被引量:1
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作者 李娇 王立国 +1 位作者 张晔 谷延锋 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第2期279-283,共5页
A new sub-pixel mapping method based on BP neural network is proposed in order to determine the spatial distribution of class components in each mixed pixel.The network was used to train a model that describes the rel... A new sub-pixel mapping method based on BP neural network is proposed in order to determine the spatial distribution of class components in each mixed pixel.The network was used to train a model that describes the relationship between spatial distribution of target components in mixed pixel and its neighboring information.Then the sub-pixel scaled target could be predicted by the trained model.In order to improve the performance of BP network,BP learning algorithm with momentum was employed.The experiments were conducted both on synthetic images and on hyperspectral imagery(HSI).The results prove that this method is capable of estimating land covers fairly accurately and has a great superiority over some other sub-pixel mapping methods in terms of computational complexity. 展开更多
关键词 sub-pixel mapping BP neural network BP learning algorithm with momentum
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Separated Same Rectangle Feature for Face Detection
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作者 Yong-hee HONG Hwan-ik CHUNG Hem-soo HAHN 《Journal of Measurement Science and Instrumentation》 CAS 2010年第2期121-124,共4页
The paper proposes a new method of "Separated Same Rectangle Feature (SSRF)" for face detection. Generally, Haar-like feature is used to make an Adaboost training algorithm with strong classifier. Haar-like featur... The paper proposes a new method of "Separated Same Rectangle Feature (SSRF)" for face detection. Generally, Haar-like feature is used to make an Adaboost training algorithm with strong classifier. Haar-like feature is composed of two or more attached same rectangles. Inefficiency of the Haar-like feature often results from two or more attached same rectangles. But the proposed SSRF are composed of two separated same rectangles. So, it is very flexible and detailed. Therefore it creates more accurate strong classifier than Haar-like feature. SSRF uses integral image to reduce execuive time. Haar-like feature calculates the Sanl of intmsities of pixels on two or more rectangles. But SSRF always calculates the stun of intensities of pixels on only two rectangles. The weak classifier of Ariaboost algorithm based on SSRF is fastex than one based on Haar-like feature. In the experiment, we use 1 000 face images and 1 000nm- face images for Adaboost training. The proposed SSRF shows about 0.9% higher acctwacy than Haar-like features. 展开更多
关键词 seperated same rectangle feature Haar-like discreteadaboost FEATURE
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An infrared human face recognition method based on 2DPCA
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作者 刘侠 李廷军 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第2期265-268,共4页
Aimed at the problems of infrared image recognition under varying illumination,face disguise,etc.,we bring out an infrared human face recognition algorithm based on 2DPCA.The proposed algorithm can work out the covari... Aimed at the problems of infrared image recognition under varying illumination,face disguise,etc.,we bring out an infrared human face recognition algorithm based on 2DPCA.The proposed algorithm can work out the covariance matrix of the training sample easily and directly;at the same time,it costs less time to work out the eigenvector.Relevant experiments are carried out,and the result indicates that compared with the traditional recognition algorithm,the proposed recognition method is swift and has a good adaptability to the changes of human face posture. 展开更多
关键词 infrared image face recognition feature sub-space K-L transformation
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Zhang Heng’s Seismoscope(4):Restoration Research
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作者 Feng Rui Wu Yuxia 《Earthquake Research in China》 2014年第2期142-151,共10页
In view of the important prestige of Zhang Heng’s seismoscope in world culture,scholars in different countries have performed restoration research,however,so far all restored models have only reached the drawing desi... In view of the important prestige of Zhang Heng’s seismoscope in world culture,scholars in different countries have performed restoration research,however,so far all restored models have only reached the drawing design and exhibition stage. In recent decades,new research achievements on historical materials,archaeology and historical seismology have been made in Chinese academic society,which lay a good foundation for the establishment of a new restored model. Not only does the new model more accord with historical materials,but it can be used to detect earthquakes for the first time. This paper will introduce the restoration in four aspects: scientific train of thought,structural restoration,formation restoration and scientific testing. 展开更多
关键词 Scientific restoration SEISMOSCOPE Scientific experiment
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Probabilistic Model-Based Silhouette Refinement for Gait Recognition
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作者 张元元 吴晓娟 阮秋琦 《Journal of Shanghai Jiaotong university(Science)》 EI 2010年第1期24-30,共7页
An algorithm to refine and clean gait silhouette noises generated by imperfect motion detection techniques is developed,and a relatively complete and high quality silhouette is obtained.The silhouettes are sequentiall... An algorithm to refine and clean gait silhouette noises generated by imperfect motion detection techniques is developed,and a relatively complete and high quality silhouette is obtained.The silhouettes are sequentially refined in two levels according to two different probabilistic models.The first level is within-sequence refinement.Each silhouette in a particular sequence is refined by an individual model trained by the gait images from current sequence.The second level is between-sequence refinement.All the silhouettes that need further refinement are modified by a population model trained by the gait images chosen from a certain amount of pedestrians.The intention is to preserve the within-class similarity and to decrease the interaction between one class and others.Comparative experimental results indicate that the proposed algorithm is simple and quite effective,and it helps the existing recognition methods achieve a higher recognition performance. 展开更多
关键词 silhouette refinement probabilistic model gait recognition performance evaluation
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Numerical magnitude processing in abacus-trained children with superior mathematical ability: an EEG study
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作者 Jian HUANG Feng-lei DU +3 位作者 Yuan YAO Qun WAN Xiao-song WANG Fei-yan CHEN 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2015年第8期661-671,共11页
Distance effect has been regarded as the best established marker of basic numerical magnitude processes and is related to individual mathematical abilities. A larger behavioral distance effect is suggested to be conco... Distance effect has been regarded as the best established marker of basic numerical magnitude processes and is related to individual mathematical abilities. A larger behavioral distance effect is suggested to be concomitant with lower mathematical achievement in children. However, the relationship between distance effect and superior mathematical abilities is unclear. One could get superior mathematical abilities by acquiring the skill of abacus-based mental calculation (AMC), which can be used to solve calculation problems with exceptional speed and high accuracy. In the current study, we explore the relationship between distance effect and superior mathematical abilities by examining whether and how the AMC training modifies numerical magnitude processing. Thus, mathematical competencies were tested in 18 abacus-trained children (who accepted the AMC training) and 18 non-trained children. Electroencephalography (EEG) waveforms were recorded when these children executed numerical comparison tasks in both Arabic digit and dot array forms. We found that: (a) the abacus-trained group had superior mathematical abilities than their peers; (b) distance effects were found both in behavioral results and on EEG wave- forms; (c) the distance effect size of the average amplitude on the late negative-going component was different between groups in the digit task, with a larger effect size for abacus-trained children; (d) both the behavioral and EEG distance effects were modulated by the notation. These results revealed that the neural substrates of magnitude processing were modified by AMC training, and suggested that the mechanism of the representation of numerical magnitude for children with superior mathematical abilities was different from their peers. In addition, the results provide evidence for a view of non-abstract numerical representation. 展开更多
关键词 Electroencephalography (EEG) Abacus training Distance effect Numerical magnitude processing Child
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