有效建设软件工程专业实训基地

为了对整个合作专业所学课程进行综合运用,同时也为了提升合作学生对口就业竞争力、就业率,我院建立了软件人才实训基地。本文介绍了软件工程专业实训基地的建设及基地实训的过程和管理,对于提高学生的职业素质和专业技能有很大帮助,对研究型大学如何培养工程型高端软件人才进行了探索和实践,是计算机类教学改革的一次尝试。     

高校课程相关性粗糙集分析模型及应用

将目前在数据挖掘领域应用广泛的粗糙集理论引入高校课程相关性分析中,提出了基于粗糙集的高校课程相关性分析模型。该模型首先运用粗糙集的相关性质对参与分析的决策数据进行属性约简,从而获得了较小决策数据集,然后应用基于分辨矩阵的关联规则提取算法提取关联规则,最后对规则进行评估与解释。通过对某高校某专业学生修读课程考试成绩数据进行实际应用分析,发现了课程成绩数据中隐藏的课程相关性规则,分析结果表明该模型在学分制体系下指导学生选课以及制定专业修读计划具有一定的辅助作用。     

Enhancement of mechanical strength by shape memory effect in TiNi fiber-reinforced composites

Since there are strong demands for materials that have the high mechanical properties, the authors developed the new design concept that improve the material strength. It uses SMA to actively control the material strength. Using the TiNi shape memory fiber-reinforced epoxy matrix composite as the test specimen, the experiment was conducted to analyze the effectiveness of the new design concept. The test was conducted by the photoelastic method. The photoelastic fringe patterns and the behavior of K-value at the crack tip clearly support the effectiveness of the new design concept. Then, an analytical model based on Eshelby’s model is developed in order to compute the average matrix compressive stress. The experimental trend that |ΔK₁| increases with prestrain ϵ_T was in good agreement with the predictions based on the present model.     

Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation

In this paper, we introduce a category of Multi-Fuzzy-Neural Networks (Multi-FNNs) models, analyze the underlying architectures and propose a comprehensive identification framework. The proposed Multi-FNNs are based on a concept of fuzzy rule-based FNNs that use H ard C-M eans (HCM) clustering and evolutionary fuzzy granulation and exploit linear inference being treated as a generic inference mechanism of approximate reasoning. By this nature, this FNN model is geared toward capturing relationships between information granules–fuzzy sets. The form of the information granules themselves (in particular their distribution and a type of membership functions) becomes an important design feature of the FNN model that contributes to its structural and parametric optimization. The genetically guided global optimization is then augmented by more refined gradient-based learning mechanisms such as a standard back-propagation. The HCM algorithm, whose role is to carry out preprocessing of the experimental data, is utilized to determine the structure of Multi-FNNs. The detailed parameters of the Multi-FNN (such as apexes of membership functions, learning rates, and momentum coefficients) are adjusted using genetic algorithms. The proposed aggregate performance index helps achieve a sound balance between approximation and generalization (predictive) abilities of the model. To evaluate an effectiveness of the introduced model, several numeric data sets are experimented with. Those include a time-series data of gas furnace, NOx emission process of gas turbine power plant and some synthetic data.     

Impacts of urea-formaldehyde resin residue on recycling and reconstitution of wood-based panels

Recycling and reuse of wood-based panels has been attracting great attention since it is an environmentally friendly means of managing wood waste. The recycled wood-based panels usually still contain adhesive residue. In the current research, the impact of urea-formaldehyde (UF) resin, one of the most widely used adhesives, on recycling and reconstitution of wood-based products has been evaluated by adding cured UF resin particles into a new adhesive system. The morphology, chemical structure, curing behavior, and bonding quality of an adhesive system containing 0–6% previously cured resin particles of varied sizes (< 600 μm) were investigated and compared to those properties of a regular adhesive without any impurity. Three-ply plywood glued with a UF adhesive containing 0–10 wt% previously cured resin of varied particle sizes (< 600 μm) were prepared and characterized. The results indicated that the resin residue could significantly affect the curing behavior and bonding quality of the new adhesive system. Higher content and greater size of the particles caused more severe deterioration in the bonding strength.     

The comparison of accommodative response and ocular movements in viewing 3D and 2D displays

Some people often appear asthenopia symptoms of eye fatigue, double vision, nausea, and dizziness while viewing 3D movies. By testing the changes of accommodation function and ocular movements during watching 3D and 2D movies, the factors in visual discomfort are confirmed in this study.20 subjects with normal visual acuity and binocular vision function view 3D and 2D movies with the same content for 30 min, and the amplitude of accommodation, binocular vergence ability, stereo-acuity, and tear break-up time of the subjects before and after viewing the films are measured. Furthermore, an open-field auto-refractor is utilized for synchronously testing the change of accommodative response while viewing 3D and 2D films, and Skalar IRIS tracking system is applied to record ocular movements through infrared positioning.In comparison with viewing 2D movies, the accommodative response and ocular movements reveal obvious changes while viewing 3D movies. The accommodation ability and binocular vergence ability obviously drop after viewing 3D movies; moreover, the stability of stereo-acuity and tear film also gets worse. The changes of such physiological factors might be the major cause of asthenopia.     

改进型多项式匹配图像去噪算法的研究与应用

为进一步改善常规多项式匹配算法的去噪能力,针对常规多项式匹配算法容易模糊图像边缘/纹理等细节问题,提出一种基于边缘保护的改进多项式匹配滤波的算法。该方法在常规多项式匹配算法基础上,改进滤波窗口的选择方式,沿着图像纹理走向方向提取自适应滑动滤波窗口,选择具有最小匹配误差的窗口进行匹配滤波并作为最终输出结果。然后分别在灰度图像和实际CT图像进行测试,经数据验证表明,该方法在有效压制噪声的前提下能够保持边缘/纹理信息,峰值信噪比平均提升80%以上,均方根误差减少80%以上。认为和常规多项式滤波方法、中值滤波方法、双边滤波方法、边缘保持滤波方法、三维块匹配去噪算法和去噪卷积神经网络方法相比,改进方法能够有效提升图像视觉效果,满足图像应用要求,具有良好的应用前景。     

Delineating development trends of nanotechnology in the semiconductor industry: Focusing on the relationship between science and technology by employing structural topic model

The bibliometrics research on nanotechnology highlights close interrelationships between scientific and technological activities (S&T) in the field of nanotechnology. Notwithstanding abundant empirical evidence on the mutual relations between S&T, the dynamics of the relationship from a contextual perspective have gained relatively little attention. Accordingly, our understanding of how science- and technology-oriented nanotechnology identifies development opportunities from each other is still at a nascent stage. To address this gap, by focusing on nanotechnology in the semiconductor industry, we use structural topic model to empirically explore the dynamic interrelationships between science- and technology-oriented nanotechnology. We empirically delineate the dynamic development trends in the context of the interrelationships between S&T and demonstrate how development opportunities are identified from each other. These findings show a new window of opportunities for how state-of-the-art models for semantic analysis can be used in the literature on S&T interrelationships.     

Collecting free-response data via computers: effects of technology on responses to hypothetical scenarios

This study compared pen-and-paper and computer administrations of free-response instruments. Two-hundred-and-fifty-seven subjects were assigned to either a computer or pen-and-paper condition and were administered two free-response instruments, one a diagnostic for message design logic, the other a hypothetical scenario depicting a group decision-making situation. Findings revealed no difference in proportion of cases assigned to each level of message design across mode of administration. However, contrary to predictions, women were not more likely to be classified at the rhetorical level of message design. Although not statistically significant due to low power, examination of message design within mode of administration revealed that more women from the pen-and-paper administration were classified as rhetoricals than men, but more men were classified at that level than women in the computer administration. Some differences in message content from the group situation were found across mode of administration or by gender within mode. Discussion addresses the cognitive processes associated with message production in mediated circumstances as well as gender differences in attitudes toward computing.