谈美术教学范图选择的针对性

范图选择的针对性非常重要。针对讲授的教学目标、教材的知识点，选择与本环节知识点紧密相连的、典型的、正面的、有代表性的适合你教的学生的范图，达到高效课堂的目的。

范图的呈现与优化——以苏少版美术教科书范图为例

美术教科书中的范图是美术教育的重要表达形式,作为美术课程的重要载体,教材范图在磨砺成长的同时,也呈现出诸多不足之处。如图文格局布设有待优化,呈现方式的逻辑性有待商榷,学生群体对教材所载的范图兴趣趋低,等等。其图像良莠不齐,图像的可接受性与易消化程度波动大,势必会对处于青春危机期的初中生产生重要影响。在此背景下,美术教育的教学改革势在必行,其中就需要通过优化范图资源来应对读图时代学生的需求。本文试图从范图的功能、现状、实施、呈现策略等角度阐释优化范图的必要性和方式。

浅析幼儿美术教育中“范图”的使用策略

范图,是美术教学中利用的示范性作品,能引导幼儿进行创作并促进幼儿思维发展。幼儿教师应清楚认识范图的意义与作用,合理使用范图,明白范图的不只是教师画、不只是教师“评”的方法;知道范图不可久留于黑板,范图可以动态展示等策略,更好地提高幼儿美术教育质量。

浅析小学美术教育中“范图”的使用策略

在小学美术教育中引导教学是最重要的,教师在美术教育的过程中要结合"范图"的使用策略,根据不同年级的学生设计适合的"范图",同时将"范图"的创作思路、构思的思维方式、制作的过程传授给学生,通过引导的方法教导学生扩展新思维以及美术设计方法。

ADC动态描述与器件选取方法

在大多数情况下,ADC的静态指标不能准确地反映器件的性能。文中讨论ADC的动态指标及描述方法。实例证明,不能简单地从指标上比较器件性能的优劣。只有在全面掌握各项动态指标的基础上,充分了解具体应用的特点,对关键指标进行合理的综合,才能选出合适的ADC器件。

建立知识经济评价指标体系的构想

一、知识经济评价指标体系的设计原则 (一)全面性原则 指标的设置应尽可能地从不同的侧面反映知识经济的全貌,要从经济基础、科技进步、教育水平、产业结构、劳动结构、城镇化水平等多个方面进行指标的构造。 (二)系统性原则 知识经济指标体系并非是一些杂乱无章的、简单的指标堆积,而是一个统一的有机整体,指标体系内部各指标之间要有一定的逻辑关系。它们不但要从各个角度反映知识经济系统的主要特征和状态,而且还要反映知识经济系统的动态变化,并能体现出知识经济系统的发展趋势。

Township Classification and the Sphere of Influence Based on Voronoi Diagram——A Case of Bijie City

Supported by research available of township system and influential sphere, the research is conducted based on towns in Bijie City, as per Voronoi diagram and breaking point theory. In the research, Shixi Office dominated as the highest center and Salaxi Town and Haizijie Town were sub-centers, supplemented by Yachi Town, Zhuchang Town, Yangjiawan Town, Qingchang Town, Heguantun Town, Qingshuipu Town, Yanzikou Town and Longchangying Town. Hence, township system and influ- ential sphere were determined and related methods and technologies were explored.

The Minimum Norm of Solutions of the Boolean Matrix-Equation A^k=J

Let A be an n×n primitive Boolean matrix. γ(A) is the least number k such that A k=J. σ(A) is the number of 1 entry in A . In this paper, we consider the parameter M ′(k,n)= min {σ(A)|A k=J, trace (A)=0} and obtain the values of M ′(2,n) and M ′(k,n) for k≥2n-6 . Furthermore, the characterization of solution of A 2=J with trace (A) =0 and σ(A)=3n-3 is completely determined.

A new record of Cleantioides emarginata Kwon & Kim, 1992 (Crustacea, Isopoda, Valvifera) from Changjiang River estuary, China

Abstract At present, descriptions of Cleantioides emarginata Kwon ＆ K/m, 1992 have been limited to the type locality of Pusan, In this study, we discovered this species in the Changjiang （Yangtze） River estuary, China. This represents an extension of the known geographical range of C. emarginata. In addition, we present information of a colour pattern not previously described, along with details on the estuarine habitat of the species.

Edge Enhancement for Remote Sensing Image Using Norm Algorithm in L_2 Vector Space

The Householder transformation-norm structure function in L2 vector space of linear algebra is introduced, and the edge enhancement for remote sensing images is realized. The experiment result is compared with traditional Laplacian and Sobel edge enhancements and it shows that the effect of the new method is better than that of the traditional algorithms.

Vision-based behavior prediction of ball carrier in basketball matches

A new vision-based approach was presented for predicting the behavior of the ball carrier—shooting, passing and dribbling in basketball matches. It was proposed to recognize the ball carrier’s head pose by classifying its yaw angle to determine his vision range and the court situation of the sportsman within his vision range can be further learned. In basketball match videos characterized by cluttered background, fast motion of the sportsmen and low resolution of their head images, and the covariance descriptor, were adopted to fuse multiple visual features of the head region, which can be seen as a point on the Riemannian manifold and then mapped to the tangent space. Then, the classification of head yaw angle was directly completed in this space through the trained multiclass LogitBoost. In order to describe the court situation of all sportsmen within the ball carrier’s vision range, artificial potential field (APF)-based information was introduced. Finally, the behavior of the ball carrier—shooting, passing and dribbling, was predicted using radial basis function (RBF) neural network as the classifier. Experimental results show that the average prediction accuracy of the proposed method can reach 80% on the video recorded in basketball matches, which validates its effectiveness.

An OGC standard-oriented architecture for distributed coal mine map services

GIS- or CAD-based technology has been widely used for cartographic maps in coal mines, but structural gaps between such maps make it difficult to provide an integrated map service, for any specific purpose, at higher levels. There is no uniform platform that can be used to manage all involved maps. The main reason for this is that datasets are submitted by individual coal mines using their individual, diverse software. No consistent model is used within the software for data abstraction and symbolization. This paper first reviews all the essential specifications concerning OGC (Open Geospatial Consortium) interoperability. Then an OGC standard-oriented architecture is proposed to provide distributed coal mine map services. Within this new architecture the management of spatial data archives, and the integration of coal mine maps, are achieved through the interfaces of geospatial services. Finally an open source geospatial approach is suggested to implement the proposed scheme. A case study of the Huaibei Coal Group is used to demonstrate the proposal.

Image denoising method with tree-structured group sparse modeling of wavelet coefficients

In order to enhance the image contrast and quality, inspired by the interesting observation that an increase in noise intensity tends to narrow the dynamic range of the local standard deviation (LSD) of an image, a tree-structured group sparse optimization model in the wavelet domain is proposed for image denoising. The compressed dynamic range of LSD caused by noise leads to a contrast reduction in the image, as well as the degradation of image quality. To equalize the LSD distribution, sparsity on the LSD matrix is enforced by employing a mixed norm as a regularizer in the image denoising model. This mixed norm introduces a coupling between wavelet coefficients and provides a tree-structured group scheme. The alternating direction method of multipliers (ADMM) and the fast iterative shrinkage-thresholding algorithm (FISTA) are applied to solve the group sparse model based on different cases. Several experiments are conducted to verify the effectiveness of the proposed model. The experimental results indicate that the proposed group sparse model can efficiently equalize the LSD distribution and therefore can improve the image contrast and quality.

Nonconforming Finite Element Method for Gradient flow Equations in Robin Conditions

In this paper, Crouzeix-Raveart type nonconforming rectangular element is applied to the Mumford-Shah functional for image segmentation subjected to Robin boundary conditions. Meanwhile, by using the special orthogonality of this element＇s basic functions, the convergence analysis for L2-norm and broken H1-norm with semi-implicit scheme is presented. And the error order is improved to the optimal, too.

Shape recovery using high dynamic range images

An effective method for object shape recovery using HDRIs （high dynamic range images） is proposed. The radiance values of each point on the reference sphere and target object are firstly calculated, thus the set of candidate normals of each target point are found by comparing its radiance to that of each reference sphere point. In single-image shape recovery, a smoothness operation is applied to the target normals to obtain a stable and reasonable result; while in photometric stereo, radiance vectors of reference and target objects formed due to illuminations under different fight source directions are directly compared to get the most suitable target normals. Finally, the height values can be recovered from the resulting normal field. Because diffuse and specular reflection are handled in an unified framework with radiance, our approach eliminates the limitation presented in most recovery strategies, i.e., only Lambertian model can be used. The experiment results from the real and synthesized images show the performance of our approach.

Low Dynamic Range Solutions to the High Dynamic Range Imaging Problem

While capturing a real world scene using a common digital camera, due to limitations of the sensor dynamic range, we will not be able to capture the entire dynamic range of the some. This problem is evident while capturing a picture of a some which has both brightly and poorly illuminated regions. High Dynamic Range （HDR） imaging aims to recover the entire dynamic range of the scene by compositing multi-exposure images. Tone reproduction is required for displaying HDR images as the corresponding Low Dynamic Range（LDR） images on common displays. This paper discusses novel approaches to reconstruct LDR images directly from multi-exposure images. It is assumed that there is no knowledge of camera response function and other camera settings. At last, it is explained how this task can be achieved effectively for static and dynamic scenes.

Post-Harvest Technology Transfer to Reduce on Farm Grain Losses in Kitui District, Kenya

Training and demonstrations as a means of post harvest technology transfer at farm level were conducted in 5 divisions of Kitui district. The aim was to reinforce farmers＇ knowledge about storage and help them select proper application methods of pest control suitable for their storage. A total of 163 participants were trained in various storage pest management topics. Before each demonstration, farmers listed their common methods of mixing grain with chemical dusts. Shovel mixing on tarpaulin or wheelbarrows and in-bag stick mixing were evaluated alongside the research way of using the shovel for grain mixing and the ＂fuffle＂, a more efficient device for mixing grain with chemical dusts. Only the 1.6% pirimiphos methyl/0.3% permethrin （Actellic super dust） was used and the treated and untreated controls were stored on site in 90 kg bags. After two months, damage and live infestation were assessed in 1 kg samples drawn from each mixing method. Despite lack of uniformity of grain due to different sources, farmers were able to identify the mixing methods which gave better results. KARl methods appeared better and the fhffle was rated as an effective and labour saving tool and farmers were keen to have it fabricated by local artisans.

Reading ＂A Dream in Red Mansions＂and Seeing the Holographic Image of Chinese Classical Furniture Art

The furniture world of ＂A Dream in Red Mansions＂ is a microcosm of Qing Dynasty aristocraticc furniture. Its material, shape and decoration are very elegant,which is not only to meet the needs of life,but also meet the pursuit of aesthetic contentment. On different occasions, coordinated with different furniture, it can form a hamaonious picture with the enviromnent. At the same time, their display range and combination mode also strictly follow different etiquette systems. In the red mansions, it shows the artistic beauty and is in the feudal shadow, and there is no exception in the furniture world. For ＂A Dream in Red Mansions＂ , it is how beautiful and how sad it is!

Research on an algorithm for solving parameter ranges in parametric drawing systems

To solve the problem that in parametric drawing systems, unreasonable parameter values in a parametric model often result in an improper shape of a geometric object, this paper proposes a novel algebraic algorithm for determining the valid range of parameter values in certain 2-dimensional parametric drawing systems. This algorithm can solve valid range of parameters such as radius and coordinate of centre points of parametric models with only linear segments and circles. The result of the study shows that all values within the valid range provided by this algorithm can ensure that the topological shape of a geometric object does not change after reconstruction, and to some extent, this algorithm can significantly promote the efficiency of parametric drawing system design and the intel- lectual level of human-computer interaction. The analysis shows that complexity of this algorithm is O（n2）.