网络技术技能型人才培养模式的实践研究

网络技术专业贴合社会和企业对人才专业技能的需求,以加强校企合作,培养高职网络技术专业技能型人才为目标,探索出一条适合网络技术专业具体实践的、有利于学生发展的校企共建的技能型人才培养模式。     

轻型输送带的发展现状

简要介绍了轻型带的发展现状，重点说明了轻型带的结构特点、分类、标志方法以及轻型带的生产工艺路线、输送形式，并介绍了该产品在现代工业物料输送中具有广泛的使用前景。     

Affective computing vs. affective placebo: Study of a biofeedback-controlled game for relaxation training

Relaxation training is an application of affective computing with important implications for health and wellness. After detecting user׳s affective state through physiological sensors, a relaxation training application can provide the user with explicit feedback about his/her detected affective state. This process (biofeedback) can enable an individual to learn over time how to change his/her physiological activity for the purposes of improving health and performance. In this paper, we provide three contributions to the field of affective computing for health and wellness. First, we propose a novel application for relaxation training that combines ideas from affective computing and games. The game detects user׳s level of stress and uses it to influence the affective state and the behavior of a 3D virtual character as a form of embodied feedback. Second, we compare two algorithms for stress detection which follow two different approaches in the affective computing literature: a more practical and less costly approach that uses a single physiological sensor (skin conductance), and a potentially more accurate approach that uses four sensors (skin conductance, heart rate, muscle activity of corrugator supercilii and zygomaticus major). Third, as the central motivation of our research, we aim to improve the traditional methodology employed for comparisons in affective computing studies. To do so, we add to the study a placebo condition in which user׳s stress level, unbeknown to him/her, is determined pseudo-randomly instead of taking into account his/her physiological sensor readings. The obtained results show that only the feedback presented by the single-sensor algorithm was perceived as significantly more accurate than the placebo. If the placebo condition was not included in the study, the effectiveness of the two algorithms would have instead appeared similar. This outcome highlights the importance of using more thorough methodologies in future affective computing studies.     

基于SURF与Hough森林的人脸检测研究

为实现复杂场景中的人脸检测与定位,提出了一种基于快速鲁棒特征SURF与Hough森林的人脸检测算法。采用SURF局部特征构建Hough森林分类器,每个叶子节点存储类别信息与特征点到达目标中心的偏移量,在图像局部外观与Hough投票之间建立映射关系,生成有监督的判别式的码本,获得可靠的概率Hough投票,以此预测目标中心位置,提高了检测精度。与此同时,采用SURF局部特征提取图像兴趣点有助于减小计算量、加快检测速度。实验证明了所提算法的有效性。     

Java程序设计课程双语教学初探

Java作为计算机专业的核心专业课程,引入双语教学是发展的必然趋势.本文论述了开展双语教学的必要性,以及开展双语教学需要做的准备.在教学开展过程中,针对教材选择,教学实施和考核方式进行了论述.     

《计算机辅助设计》课程教学模式探索

在《计算机辅助设计》课程教学中,理论教学与实践教学严重脱节,该门课程实践性强的特点得不到体现,教学效果不理想。根据多年的教学研究和教学实践,从教学内容、教学模式等方面出发,对计算机应用专业《计算机辅助设计》课程的教学进行一系列探索,采用＂以学生为中心＂的教学模式,强调学习过程中学生的参与和思考,激发学生自主学习的积极性,提高教学质量。     

模块式培训课程教材的开发与应用

通过对模块式教学基本理论的阐述,提出模块式培训课程教材的开发构想与应用,探讨适合员工职业技能特性的培训课程模式。     

BP神经网络训练算法的分析与比较

BP神经网络被广泛应用于模式识别、信号处理和自动控制等领域,其广泛性是由于它能实现任何连续映射,但由于BP网络训练所固有的复杂性,目前尚没有任何一种完全的算法能适用于任何BP网络的训练。本文介绍了MATLAB神经网络工具箱中各种训练算法的特点及其函数的参数形式,并对它们的收敛速度和内存消耗情况进行了比较,说明了其各自适用的网络。     

Speech-stream detection in short-wave channel based on empirical mode decomposition and higher-order statistics

To capture the presence of speech embedded in nonspeech events and background noise in short-wave non-cooperative communication,an algorithm for speech-stream detection in noisy environments is presented based on Empirical Mode Decomposition (EMD) and statistical properties of higher-order cumulants of speech signals.With the EMD,the noise signals can be decomposed into different numbers of IMFs.Then,the fourth-order cumulant (FOC) can be used to extract the desired feature of statistical properties for IMF components.Since the higher-order cumulants are blind for Gaussian signals,the proposed method is especially effective regarding the problem of speech-stream detection,where the speech signal is distorted by Gaussian noise.With the self-adaptive decomposition by EMD,the proposed method can also work well for non-Gaussian noise.The experiments show that the proposed algorithm can suppress different noise types with different SNRs,and the algorithm is robust in real signal tests.     

生产性实训车间管理体制的探讨

通过对生产性实训车间的含义分析,剖析了生产性实训车间的社会属性定位与分类,提出了各类生产实训车间类型的特征与其动作机制上的差异性,阐释了各类生产性实训车间的管理模式与学校选择生产性实训车间设置的注意要点。