刚体转动渐进跟踪控制的逆系统方法

逆系统方法是以非线性控制为目的,以直接分析为途径,以动态系统的逆概念为核心。该文将逆系统方法应用于刚体动力学中,运用非线性控制的逆系统方法设计Euler动力学方程的控制器,通过对一个陀螺的外力矩进行实施控制,使刚体在动坐标系下的角速度稳定跟踪指令,来实现对刚体转动的渐进跟踪控制。     

空间光通信ATP技术及其进展

对自由空间激光通信光束自动捕获、跟踪、瞄准（ＡＴＰ）系统的结构与系统主要技术指标进行了分析和讨论。通过对其中典型系统的介绍,进一步描述了ＡＴＰ技术的最新进展,论证了空间激光通信的可行性。     

空间光通信ATP系统设计分析

空间光束捕获、跟踪、瞄准（ＡＴＰ）技术在空间光通信中具有重要地位。文中讨论了空间光通信系统中的ＡＴＰ伺服系统的结构,并对系统稳态设计和系统动态综合等关键问题进行了详细的分析和研究。     

自由空间光通信ATP地面模拟系统研制

自由空间激光通信技术研究关键的步骤之一是通过其地面实验演示系统研究各项关键技术和整体优化技术,并验证它们的性能。文中描述了该地面实验演示系统的一个关键分系统—捕获、跟踪、瞄准（ＡＴＰ）系统的设计、预期达到的性能和未来升级的设想。     

实时专家系统及其应用研究

本文从实时性的角度出发,讨论了实时专家系统的含义,实时推理的特点及其方法并阐述了一个机器人焊接视觉跟踪监控和诊断实时专家系统。     

动词复制句中的附加语控制

动词复制句（Verb－Copying Construction，VCC）是一种在汉语口语中经常使用的结构，用符号可以简单地表示为S＋VP1＋VP2，动词V2是动词V1的拷贝。这种结构本身具有独特的句法语义特征，也具有不同的句法变体。在其进行句法运算时，两个动词性结构首先独立运算，VP1作为附加语，VP2作为主句成分进入句法推导。通过附加语侧向移位、附加合并以及主题化特征核查等句法操作形成语言表达式。其句法变体的不同构型是因为不同的控制类型造成的。     

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing,Decision Making,and Liking in an Eye‐Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.     

Incorporating eye tracking into cognitive interviewing to pretest survey questions

In this study, we investigated whether incorporating eye tracking into cognitive interviewing is effective when pretesting survey questions. In the control condition, a cognitive interview was conducted using a standardized interview protocol that included pre-defined probing questions for about one-quarter of the questions in a 52-item questionnaire. In the experimental condition, participants’ eye movements were tracked while they completed an online version of the questionnaire. Simultaneously, their reading patterns were monitored for evidence of response problems. Afterward, a cognitive interview was conducted using an interview protocol identical to that in the control condition. We compared both approaches with regard to the number and types of problems they detected. We found support for our hypothesis that cognitive interviewing and eye tracking complement each other effectively. As expected, the hybrid method was more productive in identifying both questionnaire problems and problematic questions than applying cognitive interviewing alone.     

A New Feature Selection Method for Text Categorization of Customer Reviews

With the rapid development of e-commerce, online consumer review plays an increasingly important role in consumers’ purchase decisions. Most research papers use the quantitative measures of consumer reviews for statistical analysis. Here we focus on analyzing the texts of customer reviews with text mining tools. We propose a new feature selection method called maximizing the difference. Various classification methods such as boosting, random forest and SVM are used to test the performance of the new method along with different evaluation criteria. Both simulation and empirical results show that it improves the effectiveness of the classifier over the existing methods.