在实际运行中，影响磨床立柱强度的随机性因素很多，为了实现立柱结构高可靠度的要求，必须考虑随机因素的影响。确定性有限元法虽可达到较高的计算精度，但是没有考虑到参数的随机性，因此将随机分析方法与确定性有限元相结合，形成随机有限元法，进而对磨床立柱进行可靠度分析具有重要的研究和应用价值。通过随机有限元法计算找出立柱相对不可靠度节点，利用结构优化原理，对磨床立柱进行结构优化设计。

In actual operation, the impact strength of the randomness of grinding uprights many factors, in order to achieve high reliability requirements column structure must be considered random factors. While deterministic finite element method can achieve high accuracy, but did not take into account the parameters of randomness, so random and deterministic finite element analysis methods combine to form stochastic finite element method, and thus on the grinder column for reliability analysis has important research and application value. Through stochastic finite element method to identify the relative unreliability column node using structural optimization principle, the grinder column for structural optimization.

航空发动机价格昂贵、故障较多，保障人员仍采用经验预测需求，造成发动机短缺或者库存过度积压的问题经常发生。本文提出从到寿和随机故障产生的需求出发分析建立航空发动机的需求预测模型，到寿产生的需求通过装机发动机的规定寿命、剩余寿命、单机飞行任务等计算，随机故障产生的需求通过损坏频率和不可靠度2种方法计算。算例表明航空发动机需求预测模型具有一定的准确性和实用性。

The price of aircraft engine was high, and its faults were many, security personnel still adopted experiences to forecast demand, which leaded to the lack of engine or excessive backlog inventory occurring frequently.This paper puts forward a de-mand forecast model of aircraft engine by analyzing the demand caused by the engine to life and random faults, through both ways of fault rate and frequency and unreliability to compute the demand caused by engine to life by aircraft engine’ s specified life, re-maining life, single flight task and so on, and the demand caused by random faults.The example shows that the demand forecast model of aircraft engine is some accurate and practical.

采用随机抽样的方法,调查了367名大学生职业决策困难的特点,考察了大学生职业决策困难与一般自我效能感之间的关系。结果显示:在职业决策困难特点方面,大学生在缺乏职业信息、犹豫不决、内部冲突三个维度上得分均较高;在内部冲突、犹豫不决、缺乏获得信息方式上,女生的得分均显著高于男生;在职业决策困难与一般自我效能感的关系方面,缺乏决策过程知识、缺乏自我信息、缺乏职业信息、缺乏获得信息方式以及犹豫不决与一般自我效能感之间均存在显著负相关;不可靠信息与一般自我效能感之间存在显著正相关。

By using random sampling method,367 college students were surveyed for features of occupation deci-sion difficulty and the relationship between occupation career decision-making difficulty and general self-efficacy. The results show that,with respects to occupation decision difficulty,college students had higher scores in the lack of occupation information,hesitating decision-making and internal conflict.The school girls took higher difficulty level of internal conflict,hesitating decision-making and the lack of occupation information than school boys.The lack of occupation information,the information about self,and the ways of obtaining the occupation information, and hesitating decision-making were negatively related with general self-efficacy,whereas no reliable information was positively related with general self-efficacy.

"二我差"是广义叙述学中一个关于被叙述主体人格差异的重要概念。笔者试图将"二我差"的叙述状况进一步细化,即分为成长小说的"时差二我差"和精神病题材电影中的"分裂二我差"。二我差是精神分裂题材电影叙述展开的焦点所在,通常伴随心像再述和不可靠叙述。从双重人格差异的"二我差"到"二我斗"和"多我斗",精神病题材具有极强的可述性。对多重人格的关注既是对人类自身精神世界复杂性的探求,也是对现代社会单一理性维度压迫的拒绝和反抗。

“Two-I’s difference” is an important concept in general narratology that discusses per-sonality differences of narrated subjects. The author intends to refine the narration of the concept into“time two-I’s difference” in initiation stories and“dissociation two-I’s difference”. Two-I’s differ-ence is the focus of narration in films on mental dissociation, which is always accompanied with mental restatement and unreliable narration. From the “two-I ’ s difference” of dual personality differences to “two-I’s fight” and “many-I’s fight”, movies on mental disorder can be narrated in extremely numerous ways. By paying attention to multiple personality, the films not only pursue the complexity of human mind, but also refuse and resist the oppression of a single rational mechanism.

针对目前手势识别方法计算复杂、特征量提取不可靠等问题,提出基于Kinect传感器深度信息快速动态手势识别算法。通过Kinect的深度摄像头获取深度图像,利用阈值分割法对深度图像进行预处理;结合深度信息,利用OpenCV函数库来提取前景;选用动态时间规整(dynamic time warping)算法计算测试行为模板与参考行为模板之间的相似度以实现样本的分类;最终结合OpenNI和OpenCV,在VS2010环境下实现了该算法。与其他算法相比,该算法改进动态手势特征的提取方法和分类过程,能够快速跟踪手部,有效分割手势。实验结果表明,本方法对具有时空特性的动态手势有很高的识别率,在不同光照和复杂背景下具有较好的鲁棒性。

To solve the complex calculation and the unreliable feature extraction of gesture recognition, a fast algorithm of dynamic gesture recognition based on the depth information of Kinect was proposed.Firstly,the depth camera of Ki-nect was used to get the depth image.Then, the method of threshold segmentation was used for image preprocessing, using OpenCV library and depth information to extract the foreground.Finally, Dynamic time warping algorithm calcu-lated the similarity between test behavior template and reference behavior template for classifying the samples.The algo-rithm was realized under VS2010 by integrating OpenNI and OpenCV.Compared with other algorithms, this algorithm improved the extraction method of the dynamic gesture characteristics and the classification trajectory.Experimental re-sults showed that the proposed method had a high recognition rate for the dynamic hand gestures with characteristics of time and space, and it had robustness under different illumination and