• The construction of teaching-video database is important to teaching information resource, and it's a foundation work to remote learning.

    视频教学素材库建设是教学信息资源建设的一个重点内容,也是现代远程教育工程建设的基础性工作。

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  • Even though it targets virtual (remote) learning, Moodle can also be used to complement traditional teaching environments.

    尽管以虚拟(远程)学习为目标,但Moodle还可以用于补充传统的教学环境。

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  • In view of teaching method, changing the passive study under traditional mode into active knowledge - seek, remote education can motivate the learners to fully employ their learning potential.

    从教学方式来看,远程教育变传统教育方式下的被动学习为主动学习,能够充分发挥学习者的主观能动性和学习积极性。

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  • In view of teaching method, changing the passive study under traditional mode into active knowledge-seek, remote education can motivate the learners to fully employ their learning potential.

    从教学方式来看,远程教育变传统教育方式下的被动学习为主动学习,能够充分发挥学习者的主观能动性和学习积极性。

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  • The emulate system with good interface and interactive function can be applied in the auxiliary instruction, autonomous learning, remote education, and so on.

    该仿真系统具有友好的界面,良好的互动功能,可以应用在辅助教学、自主学习、远程教育等方面。

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  • Lifelong learning will become the survival of mankind, the advantage of remote education makes it become means of learning society.

    终身学习将成为人类生存的必然方式,远程教育的优势使它成为学习化社会的教育途径。

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  • Against various types of network education resources, remote guidance through online education platform to provide individual learners learning support services.

    针对各类网络教育资源,远程指导可以通过网络教育平台求学者提供个体化学习支持服务。

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  • Videoconference system can widely be applied to distance learning, remote medical service, remote training and other services that need real-time audio, video data transmission.

    它可以广泛地应用于远程会议、远程教育、远程医疗、远程培训及项目协同工作等许多方面。

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  • Spectrum analysis diagnosis system (SADS) is composed of user interface, data management, KBM, reasoning facility, self-learning adjusting, remote fault diagnosis and system output modules etc.

    油液光谱分析诊断系统(SADS)由人机交互、数据管理、知识库管理、推理机、自学习调整、远程故障诊断和系统输出等模块组成。

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  • The new modular kernel function not only has a good learning ability, but also applies the full information which the high-dimensional spectra remote sensing image provided.

    新型的组合式核函数既具有较好的学习能力,又能充分应用高光谱图像所提供的信息。

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  • This paper introduces design of intelligent-learning infrared remote controller based on MSP430 microcontroller, and describes hardware structure and software of system.

    介绍了一款基于MSP430系列单片机的智能学习型红外遥控器的设计方案,给出了该系统的硬件结构和软件组成。

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  • The ADT2210 is a low current receiver IC that is the code learning infrared remote control system.

    该ADT2210是一个低电流接收器IC是代码学习红外遥控器控制系统。

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  • Cultivation of good learning habits is of much importance to students in colleges of remote minority areas.

    良好英语学习习惯的培养和养成对于民族边远地区高校的学生极其重要。

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  • The couple had a once a year "learning traveling", traveling to the remote areas in the world to look up their life and need.

    每年夫妻二人都会开展一次“学习之旅”,前往世界上边远的地区,实地探访那里人们的生活和需求。

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  • There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.

    提出一种基于多分类器协同训练的遥感图像检索方法,该方法在不同特征集上分别建立分类器,利用不同分类器的协同性自动标记未知样本,从而有效解决了小样本问题。

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  • This scheme is used successfully in the remote control system of a MIDI music learning machine.

    该方案已被成功地应用于MIDI音乐学习机的遥控系统。

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  • Firstly, the learning ability of support vector machine is used to detect cloud in remote sensing image, and combining the information of solar Angle, cloud shadow area is detected.

    首先利用支持向量机的学习性能检测影像中的云层,并利用太阳角度信息,判定云阴影区域,得到云层和云阴影的二值图。

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  • The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.

    遥感图像分类方法通常采用监督的学习算法,它需要人工选取训练样本,比较繁琐,而且有时很难得到;而非监督学习算法的分类精度通常很难令人满意。

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  • The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.

    遥感图像分类方法通常采用监督的学习算法,它需要人工选取训练样本,比较繁琐,而且有时很难得到;而非监督学习算法的分类精度通常很难令人满意。

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