从商务日语课程设置谈高职教育课程改革

本科院校办高职学院是我国 2 0世纪末出现的一个新生事物 ,如何设置专业课程 ,提高教学质量 ,使学生一出校门就能容纳到直接为经济服务当中去 ,结合商务日语专业的具体情况对这个问题进行了思考。     

Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow

An unsupervised machine-learning workflow is proposed for estimating fractional landscape soils and vegetation components from remotely sensed hyperspectral imagery. The workflow is applied to EO-1 Hyperion satellite imagery collected near Ibirací, Minas Gerais, Brazil. The proposed workflow includes subset feature selection, learning, and estimation algorithms. Network training with landscape feature class realizations provide a hypersurface from which to estimate mixtures of soil (e.g. 0.5 exceedance for pixels: 75% clay-rich Nitisols, 15% iron-rich Latosols, and 1% quartz-rich Arenosols) and vegetation (e.g. 0.5 exceedance for pixels: 4% Aspen-like trees, 7% Blackberry-like trees, 0% live grass, and 2% dead grass). The process correctly maps forests and iron-rich Latosols as being coincident with existing drainages, and correctly classifies the clay-rich Nitisols and grasses on the intervening hills. These classifications are independently corroborated visually (Google Earth) and quantitatively (random soil samples and crossplots of field spectra). Some mapping challenges are the underestimation of forest fractions and overestimation of soil fractions where steep valley shadows exist, and the under representation of classified grass in some dry areas of the Hyperion image. These preliminary results provide impetus for future hyperspectral studies involving airborne and satellite sensors with higher signal-to-noise and smaller footprints.     

GIS professional development for teachers: lessons learned from high-needs schools

University faculty partners from the Departments of Geography and Instruction and Teacher Education at a large, public university collaborated with K-12 teachers and the leadership of a rural school district in order to investigate the crosscutting content of science, mathematics, and geography through the integration of web-based GIS technologies. The project explored the critical connections among technology, pedagogy, and content with a particular emphasis on developing technology-enhanced, inquiry-based lessons in which the teachers and their students used GIS technologies to analyze, visualize, and present data in real-world contexts. The findings highlight the importance of well-structured professional development that builds community, integrates diverse content and pedagogical expertise, provides feedback and coaching, and is of sufficient duration to effect change.     

基于模糊预测对象的证据权方法及其在土地沙漠化评价中的应用

为了使在地理信息系统中被广泛用于点事件预测的证据权方法能对面事件进行评价和预测, 提出了一种新的基于模糊训练层的证据权方法.它是一种更广泛的证据权方法, 与普通证据权方法所不同的是, 它的训练层是模糊集合, 其取值是它的隶属度.通过适当的变换也可以把点训练层转换为模糊集合.因此, 该方法可以对面事件、点事件和线事件进行评价和预测.该方法可以处理训练层和证据层均为模糊集合的情况, 被称为双重模糊证据权方法.作为该方法的一个应用实例, 本文介绍毛乌素沙漠边缘的晋陕蒙地区土地沙漠化评价的应用实例.      

基于谱聚类算法的海底滑坡危险性评价

海底滑坡的危险性评价与分区,对海洋工程设施的选址和危险预防具有指导作用.本文基于无监督机器学习的谱聚类算法对黄河口埕岛海域展开了海底滑坡危险性评价,构建了输入参数为9、输出类别为4、核函数参数为0.08的海底滑坡危险性评价模型.使用该模型进行评价,将研究区分为了海底滑坡危险性高、较高、较低和低的区域.评价结果与地质环境...     

能力培养为导向的实践课程改革与设计

大学实践课程是培养学生创新、创业实践能力的重要环节,本文在新工科实验课程建设中,提出了以能力培养为导向的实践课程设计思路,旨在培养适应当今新技术、新产业、新模式快速变革时代的创新性工程科技人才。本文将传统的验证性实践课程调整为“目标设定、方案规划及实施”的设计型实验课程,强调学生在实践中的主体地位,遵循实践能力培养的规律,引导学生在实践中重参与、重思考、重实施、重过程。同时,将行业的最新发展、最新变革反映在实践教学课程中,增加了新型传感器及混合云人机协作数据处理平台,确保学生获取的知识和技术与快速发展的行业水平相接轨。本文以摄影测量实习课程改革为例,实践证明,课程的实施对于培养学生综合分析设计、创造性解决专业问题的能力取得了较好的效果。     

指导工程测量竞赛经验探讨

技能竞赛的蓬勃发展为加强技能人才培养、选拔和促进优秀人才脱颖而出发挥了重要作用。通过对全国和北京市测绘地理信息行业职业技能竞赛工程测量赛项设置、技术要求、竞赛特点的归纳分析,从参赛队员的选拔、竞赛训练方案、技战术、比赛注意事项等方面对竞赛工作进行探讨,为今后的备赛以及参赛提供借鉴。     

浅析道德情感在道德修养过程中的作用

道德情感作为人类特有的一种高级情感,是人类道德心理中最深沉又最活跃的内容,同时又是人们完善自己的一个方面。在道德实践活动中,道德情感和道德意识诸要素之间有着紧密的联系,着重论述道德情感在人的道德修养过程中的重要性。