Damage and deterioration mechanism and curing technique of concrete structure in main coal cleaning plants

Concrete structures in main coal cleaning plants have been rebuilt and reinforced in the coal mines of the Shanghai Da-tun Energy Sources Co. Ltd., the first colliery of the Pingdingshan Coal Co. Ltd. and the Sanhejian mine of the Xuzhou Mining Group Co. Ltd. In these projects, the operating environment and reliability of concrete structures in the main plants of the three companies were investigated and the safety of the structures inspected. Qualitative and quantitative analyses were made on the spe-cial natural, technological and mechanical environments around the structures. On the basis of these analyses, we discuss the long-term, combined actions of the harsh natural (corrosive gases, liquids and solids) and mechanical environments on concrete structures and further investigated the damage and deteriorating mechanisms and curing techniques of concrete structures in the main coal cleaning plants. Our study can provide a theoretical basis for ensuring the reliability of concrete structures in main coal cleaning plants.     

当代教育理念与模式下的职业技术学院设计——以鹤壁职业技术学院新校区规划设计为例

面对社会对职业技术的日益重视,职业技术学校的发展也有了日新月异的变化.试图通过对鹤壁职业技术学院新校区的规划设计与分析,探讨当代教育理念与模式下高等职业技术教育的办学特色和校园文化对规划及建筑设计的影响,从而总结适应职业技术教育的设计理念和方法,塑造具有自身特色和体现城市风貌的职业技术学院.     

高等院校开展学生职业生涯规划教育的思考

职业生涯规划对于人生发展具有极为重要的指导意义,对在校大学生进行职业生涯规划教育和指导,是高等学校人才培养的一项重要环节。文章针对高校学生对今后从业的认知现状和目前高校在开展就业教育工作中存在的不足,提出高等学校必须通过全程化和系统化的职业生涯规划教育指导,有效帮助学生发现和挖掘自身潜能,引导学生根据所学专业和个人志向及特长,设定毕业后的从业方向,确立大学不同阶段的努力目标,指导学生根据社会和个人发展的实际情况,实时修正从业方向和努力目标。在不断完善学生综合素质和专业技能的基础上,促进学生顺利完成学业、从容走向社会、尽早实现人生价值。     

Renewal strategies for old industrial areas in the post-industrial age—Take “Zurich-West” in Switzerland as an example

This paper introduces and analyses the renewal planning of “Zurich-West”, an old industrial area. It points out that systematic and comprehensive target orientation, extensive collaboration in argumentation and decision-making, and the design ideas of coexistence and integration are the key to its success. Considering the status quo of China’s old industrial district remodeling, the paper offers some suggestions. Supported by the National Natural Science Foundation of China (Grant No. 50878045)     

Robust lane recognition for structured road based on monocular vision

A robust lane detection and tracking system based on monocular vision is presented in this paper.First,the lane detection algorithm can transform raw images into top view images by inverse perspective mapping(IPM),and detect both inner sides of the lane accurately from the top view images.Then the system will turn to lane tracking procedures to extract the lane according to the information of last frame.If it fails to track the lane,lane detection will be triggered again until the true lane is found.In this system,θ-oriented Hough transform is applied to extract candidate lane markers,and a geometrical analysis of the lane candidates is proposed to remove the outliers.Additionally,vanishing point and region of interest(ROI)dynamically planning are used to enhance the accuracy and efficiency.The system was tested under various road conditions,and the result turned out to be robust and reliable.     

高职《营销策划》课程情境式教学的应用研究

营销策划情境式教学是对传统营销教学模式的改革和创新,符合技能型人才的培养目标。与传统的营销策划教学模式相比,它更注重学生实际操作能力的培养,强调学生的主体地位,有效地激发了学生学习的主观能动性和兴趣性,是一种培养学生"快乐地学习"的教学理念。     

射线检测中运动模糊图像的恢复

X射线实时成像检测中,若曝光时间内工件和X射线图像采集设备有相对线性运动,会造成图像运动模糊降质。提出利用运动模糊点扩展函数的频域特征和Hough变换得到模糊图像的运动方向,并将之旋转到水平轴方向,利用差分法求解运动模糊点扩展函数的长度。并用Wiener滤波的方法,恢复降质的图像,取得了较好的效果。     

模具生产联合体加工作业统一调度问题的研究

模具生产联合体是由小规模企业组成的模具设计、制造联盟，由于设备、工装和人员分属于不同的加盟企业，其作业排序过程非常复杂。为此提出一种复合式模具生产联合体的生产排序方法：依据基本优先规则首先完成单一工序作业，然后对多工序作业用改进遗传算法进行工艺优化，求出最优解和次优解，再使用评价函数法选择最佳作业路线。该方法在生产试验中取得了良好的成效．能较好满足模具用户和加盟企业两方面的需要。     

焊接企业生产管理系统

通过对焊接企业的分析和总结,以 Oracle 为数据平台,运用面向对象的插件开发技术,设计、开发了焊接企业生产管理系统,以便对企业焊接生产线上所有物质、流程进行更精准的监控、管理,如对焊材、母材的管理等。同时,该系统集成了各种焊材的国家检验标准数据,并支持按企业特性进行修改,为质检人员制定标准提供便捷。     

Evaluation of tile–wall bonding integrity based on impact acoustics and support vector machine

It is well recognized that the impact-acoustic emissions contain information that can indicate the presence of the adhesive defects in the bonding structures. In our previous papers, artificial neural network (ANN) was adopted to assess the bonding integrity of the tile–walls with the feature extracted from the power spectral density (PSD) of the impact-acoustic signals acting as the input of classifier. However, in addition to the inconvenience posed by the general drawbacks such as long training time and large number of training samples needed, the performance of the classic ANN classifier is deteriorated by the similar spectral characteristics between different bonding status caused by abnormal impacts. In this paper our previous works was developed by the employment of the least-squares support vector machine (LS-SVM) classifier instead of the ANN to derive a bonding integrity recognition approach with better reliability and enhanced immunity to surface roughness. With the help of the specially designed artificial sample slabs, experiments results obtained with the proposed method are provided and compared with that using the ANN classifier, demonstrating the effectiveness of the present strategy.