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The results were summarized as follows:(1) the 4-week interval retest reliability for the Decidedness, Comfort, and Reasons scales were .69,.80, and .89, respectively, and for the subscales of the Reasons scale ranged between .78 and .85;(2) the alpha coefficients for the three scales were .85,.91,.97, and for the subscales of the Reasons scale ranged between .78 and .93;(3) there was a positive correlation between the Decidedness scale and the Comfort scale, and both scales were negatively correlated with the Reasons scale;(4) career indecision was found to be correlated as expected with state-trait anxiety, career beliefs, and perceived career barriers;(5) there were no significant differences between social science group and natural science group;(6) the only significant gender difference was found on the Career Choice Importance scale of the Reasons scale; and (7) there were significant grade differences on all the CCFI scale scores, with higher school grade level students showing greater decidedness.

本量表共分三部分:定向量表,安适量表及原因量表。其中,原因量表尚包含「环境资讯」、「抉择时机」、「双趋冲突」、「焦虑犹豫」、「科系因素」、「外在阻力」及「自我认识」七个分量表。做答方式采六点计分,从「非常不符合」到「非常符合」。信度方面,间隔四周的再测信度,定向量表为。69,安适量表为。80,原因量表为。89(分量表介於。78至。85间)。Cronbach alpha系数,定向量表为。85,安适量表为。91,原因量表为。97(分量表介於。78至。93间)。在效度方面,定向量表与安适量表呈显著正相关(r=。67);两量表与原因量表呈显著负相关(r=-。77及-。75);原因量表各分量表的内部相关低於各分量表与总分的相关。大学生的生涯定向程度、对生涯定向状态的安适程度及生涯未定向原因的类型三者与特质焦虑、情境焦虑、生涯信念及职业抉择阻力有关。

This method has realized the state space decomposition of rotational speed and flux with the help of support vector clustering technique. In the process of clustering,the author proposed a proximity graph-based dynamic kernel parameter clustering method that is suitable for the control of motor rotational speed and glue pump flux in MDF production to solve the problem of high complexity of relative matrix calculation.

该辨识方法利用支持向量聚类技术实现电机转速与泵流量的状态空间分解,应用支持向量分类技术设计了多模型切换策略,并运用支持向量回归技术构建了状态空间内的转速与流量辨识模型。

A novel method for design of controller enforcing the constraints is presented. First the constraints involving the marking and Parikh vectors are transformed into the constraints involving Parikh vector only using Petri net state equality, and then the controller is constructed based on the viewpoint that a place can be seen as a linear inequality constraint on the Parikh vector.

该方法首先利用Petri网的状态方程把关于标识向量和Parikh向量的不等式约束转变成关于Parikh向量的不等式约束,然后基于Petri网库所是关于Parikh向量的不等式约束的观点构造控制器。

Because of the nonuniqueness in the positional solution, it's not easy to test the performance of the coordinated control system. So the model of NN was built to convert the vector of the length of 6 jars into the vector of the position of the motion deck. It's fast and accurate for the lengthwise direction. The state space system model of the six degree freedom motion simulator was built by the equations of electrodraulic servo mechanism and the multi-body dynamics equation of the six degree freedom motion simulator,the vector of the length of 6 jars was the control variable.

本文结合六自由度运动模拟器的多体动力学方程和电液伺服驱动机构的特性,经简化得出了具有实际意义的六自由度运动模拟器整体系统的状态空间方程式,通过分析该系统的稳定条件和能控性,采用状态反馈对系统的状态方程式进行合理配置,从而建立了以运动模拟器杆长向量为控制变量的运动模拟器整体控制系统,并将该控制系统输出的杆长向量转换为位置向量。

A new kind of state variable weight vectors can be constructed by means of the properties under some conditions.

首先讨论了状态变权向量的基本性质;然后,指出在满足一定的条件下基于这些性质可以由已知的状态变权向量构作新的状态变权向量。

The multi-dimensional signals measured by sensors with a machine working under normal condition or fault condition, can be used to build Q statistic and T^2 statistic respectively to detect the state of the machine. Meanwhile, the feature vector is constructed by the Q value and the T^2 value, the geometrical distance between the normal feature vector and the feature vector H when the machine goes wrong is used to realize the fault location. The results show that the method is feasible.

利用多个传感器测量的异步电机多维信号参量,构建电机在正常工作和发生故障时的Q统计和T^2统计,以实现电机的状态检测;利用Q统计和T^2统计值构建电机的状态特征向量,通过比较度量当前电机的特征向量与电机发生故障时的特征向量H的几何距离来实现电机故障的定位与分离实验证明,该方法可以有效地实现故障的诊断与分离。

Thus this paper first introduces a general approach to continuous element methods for one-dimensional structures,in which the continuous element methods is computed numerically and directly from the transfer matrix from the state vector equation of motion of a structure.

因此,介绍一维结构的连续单元法的一般方法:由结构运动方程建立状态向量方程和利用单元传递矩阵得到单元的刚度矩阵。

For local processor, statement vector of data fusion algorithm construct the combination of two sensor fusion in the network respectively.

在区域处理器方面,采用状态向量的资料融合演算法,在网路中分别地建立两感测器融合的组合。

Wavelet packet decompresses vibration signals, and wavelet packet nodes which are sensitive to the change of state, as eigen-nodes, form a decomposition tree; the signal restructured at all eigen-nodes can be used as the fingerprint in many breaker diagnostic systems. Support vector machine with the "most important" factors at eigen-nodes as input vector classifies the states at "one to others" strategy.

首先利用小波包分解振动数据,提取状态变化敏感节点作为特征节点形成分解树,利用敏感节点重构完好状态振动信号,并以此作为当前大多断路器诊断系统中使用的指纹信号;同时提取特征节点最大系数形成特征向量,作为支持向量机的输入向量,使用&一对其余&策略进行特征分类。

Information entropy, coincidence degree and its standard errors of axle centre trail quadrant area vector under different bearing states are extracted, the sensibility degree of the different parameters for the bearing states in different quadrant division is analyzed. By modifying the parameter compute method, the sensibility degree is improved.

提取各典型状态下轴承轴心轨迹象限面积向量的信息熵,和多周期面积向量的重合度以及重合度标准差,分析在不同象限划分下,各特征参数对状态的敏感程度,通过改进特征参数计算方法,提高对状态的灵敏度。

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