高职院校绩效工资制度存在的问题及对策——以武汉某职院人事分配制度为背景

为了最大程度地调动教职工的积极性和创造性,提高办学质量和办学效率,高职院校纷纷进行人事分配制度改革。由于高职院校存在着教师教育教学活动的投入难以可靠计量、教育教学活动的产出难以可靠测量以及教学效果难以可靠评估等特殊性,导致高校绩效工资制度的改革难以达到"效率优先,兼顾公平"的预期效果。本文以武汉某职院人事分配制度的改革方案为背景,由个别到一般,分析高职院校绩效工资改革存在的不足,并就如何进一步优化高职院校绩效工资制度改革提出意见和建议。     

基于神经网络与模糊算法图像边缘检测方法*

针对传统图像边缘检测方法中出现毛边、噪边、边缘定位不精确等缺点,提出一种神经网络与模糊算法相结合的检测方法。根据图像特征,将图像分为高频和低频部分分别处理,高频部分适宜用双层网络结构,可以很好地减弱噪声;对于图像低频部分,将模糊理论引入到边缘检测中,能够检测出弱边。最后对检测出的两个图像边缘进行融合,实验结果证明得出的检测效果较好,比传统边缘检测算子所获结果有很大改善。     

数据挖掘及辅助决策在物联网中的应用分析

该文分析了数据挖掘的概念,探讨了辅助决策系统以及数据挖掘之间的整合方法,并研究了数据挖掘及辅助决策系统在物联网当中的应用情况,包括物联网模型架构,数据挖掘及其算法的选择,辅助决策系统以及数据挖掘应用的具体过程等。     

小波变换在图像照度不均校正中的应用

数字图像中照度不均匀影响了图像分割的质量,本文研究图像照度不均匀的校正。讨论几种现有数字图像照度不均匀的校正技术,分析这些方法在计算误差上面的原因及缺点,在此基础上提出基于小波变换的数字图像照度不均匀校正技术。小波变换兼顾了空域和频域,对光照不均匀数字图像做校正,这对后期图像分割非常重要。图像对比实验表明,该方法与其他方法相比较,具有速度快,所得图像区分度高、背景噪声小的特点。     

直流变频执行机构承载能力设计

直流变频电动执行机构主要是控制系统采用的控制器集成BLDC电机驱动,具有智能变频型电动执行器所有功能要求,配合直流无刷电机适用于各种类型的场合,作为工业控制的核心单元,被广泛应用在各行业工业控制单元。执行机构所用蜗杆传动用于交错轴间运动及动力。本论文根据在相同条件下讨论三种蜗杆传动设计和校核,来验证采用不同的加工方法。以达到提高其承载能力的目的[1][3]。     

Estimation of Defects Based on Defect Decay Model: ED^{3}M

An accurate prediction of the number of defects in a software product during system testing contributes not only to the management of the system testing process but also to the estimation of the product's required maintenance. Here, a new approach called ED³M is presented that computes an estimate of the total number of defects in an ongoing testing process. ED³M is based on estimation theory. Unlike many existing approaches the technique presented here does not depend on historical data from previous projects or any assumptions about the requirements and/or testers' productivity. It is a completely automated approach that relies only on the data collected during an ongoing testing process. This is a key advantage of the ED³M approach, as it makes it widely applicable in different testing environments. Here, the ED³M approach has been evaluated using five data sets from large industrial projects and two data sets from the literature. In addition, a performance analysis has been conducted using simulated data sets to explore its behavior using different models for the input data. The results are very promising; they indicate the ED³M approach provides accurate estimates with as fast or better convergence time in comparison to well-known alternative techniques, while only using defect data as the input.     

Free-form object reconstruction from silhouettes, occluding edges and texture edges: a unified and robust operator based on duality

In this paper, the duality in differential form is developed between a 3D primal surface and its dual manifold formed by the surface's tangent planes, i.e., each tangent plane of the primal surface is represented as a four-dimensional vector which constitutes a point on the dual manifold. The iterated dual theorem shows that each tangent plane of the dual manifold corresponds to a point on the original 3D surface, i.e., the dual of the dual goes back to the primal. This theorem can be directly used to reconstruct 3D surface from image edges by estimating the dual manifold from these edges. In this paper we further develop the work in our original conference papers resulting in the robust differential dual operator. We argue that the operator makes good use of the information available in the image data, by using both points of intensity discontinuity and their edge directions; we provide a simple physical interpretation of what the abstract algorithm is actually estimating and why it makes sense in terms of estimation accuracy; our algorithm operates on all edges in the images, including silhouette edges, self occlusion edges, and texture edges, without distinguishing their types (thus resulting in improved accuracy and handling locally concave surface estimation if texture edges are present); the algorithm automatically handles various degeneracies; and the algorithm incorporates new methodologies for implementing the required operations such as appropriately relating edges in pairs of images, evaluating and using the algorithm's sensitivity to noise to determine the accuracy of an estimated 3D point. Experiments with both synthetic and real images demonstrate that the operator is accurate, robust to degeneracies and noise, and general for reconstructing free-form objects from occluding edges and texture edges detected in calibrated images or video sequences.     

The effect of flaming on computer-mediated negotiations

There is an increasing use of computer media for negotiations. However, the use of computer-mediated channels increases the hostile expressions of emotion, termed flaming. Although researchers agree that flaming has important effects on negotiation, predictions concerning these effects are inconsistent, suggesting a need for further investigation. We address this need by extending current flaming and negotiation research in two ways. First, we identify two different types of flaming: that which is motivated by perceptions concerning the negotiating opponent (e.g., he/she is unfair) and that which is motivated by perceptions concerning the negotiating context (e.g., the communication channel is too slow). Second, we differentiate between the effects of flaming on the concession behaviors of the flame sender and the flame recipient, and the effects of these behaviors on negotiated agreement. Via a laboratory study, we demonstrate that flames directed at the negotiation opponent slightly decrease the likelihood of reaching an agreement, and when an agreement is reached, it result in outcomes significantly favoring the flame recipient rather than the flame sender. In contrast, flames directed at the negotiation context significantly increase the likelihood of agreement, although outcomes still favor the flame recipient over the flame sender. These results suggest that flame senders are generally worse off than flame recipients, which provides an important basis for the strategic use of flaming in negotiations.     

倒立摆的迭代学习控制方法研究

针对倒立摆系统典型的非线性、多变量和自然不稳定的特点,在建立系统数学模型基础上,利用迭代学习控制方法,根据动态指标的要求设计了控制器,并完成了系统仿真,结果表明:与传统反馈控制相比较,所设计的迭代学习控制器使系统的动态性能得到了很大的改善。