Competition and Instructional Set Effects On the Speed and Accuracy of a Throwing Task

Abstract

Two experiments were conducted to investigate the effects of competition and instructional sets on the speed and accuracy of a dart-throwing task. In both experiments individuals competed against another subject on one day, and performed under noncompetitive conditions on a second day. The five distinct instructional sets varied from extreme emphasis on speed to extreme emphasis on accuracy. Multivariate analyses of variance revealed main effects for instructional sets on speed and accuracy in both experiments. Strong tradeoffs occurred with speed slowing and accuracy improving as the instructional emphasis changed from speed to accuracy. A competition by instructional sets interaction in Experiment 2 indicated that competition facilitated speed when speed was important, but when instructions emphasized accuracy, speed was slower in competition than in noncompetition. Accuracy was not affected by competition.     

S_H型区间值模糊子群(英文)

本文在群上定义的区间值模糊集空间上,引入由T—余范数诱导的幂等区间余范数S_H,定义了S_H型区间值模糊子群,同时,讨论并研究了它的一些基本性质和结构特征,进而,给出了它的同态象和逆象定理。     

Rule Generation Based on Dominance Matrices and Functions

Rough set theory has proved to be a useful tool for rule induction. But, the theory based on indiscemibility relation or similarity relation cannot induce rules from decision tables with criteria. Greco et al have proposed a new rough set approach based on dominance relation to handle the problems. In this paper, the concept of dominance matrix is put forward and the dominance function is constructed to compute the minimal decision rules that are more general and applicable than the ones induced by the classical rough set theory. In addition,the methodology of simplification is presented to eliminate the redundancy in the rule set.     

基于粗集理论的信息系统数据行约简

一种判断数据是否是冗余数据的方法被提出,即分别计算出删除这些数据之前和之后的信息系统属性约简,若两者相同,则说明这些数据是冗余数据;若不相同,则不是.从这一思想出发,先提出了数据行的概念,接着给出了数据行约简的定义,最后通过示例演示了数据行约简的过程.     

基于粗糙集和神经网络理论的入侵检测分类器的设计与实现

入侵检测系统中分类器的设计是整个系统中重要部分。提出一种基于粗糙集约简算法的神经网络分类器模型,将粗糙集能够在保持系统精度的情况下去掉冗余属性引入到神经网络中,优化网络结构。实验测试表明,此模型能够保证系统检测的准确性,具有一定的实用性。     

变精度双向变异S-粗集与它的变异结构

提出了变精度双向变异S-粗集的概念和它的变异结构，给出了变精度双向变异S-粗集的有关性质定理和推论，并对此进行了讨论。通过实例分析并验证了动态系统由于属性集合的双向动态迁移特性与变精度参数的变化所产生的双向变异S-粗集的上近似、下近似、近似边界区域以及分类近似精度的变化关系和趋势，指出了变精度双向变异S-粗集的研究与应用方向。     

S—分离性与R—分离性

本文首先给出S_i—空间(i=0,1,2)的若干等价条件,然后定义另一种分离性:R—分离性并讨论其性质。     

基于交流采样技术的发电机组电气性能测试系统的实现

提出了一种基于CAN总线的多级分布式发电机组电气性能测试系统。利用数字信号处理器（DSP）及三菱M16C/6N系列单片机实现了对电气参数的采集和控制,设计了一种基于AT89S52单片机的智能负载,可自动根据测试需要调节负载大小,利用工控机和组态控制软件,实现了对发电机组多个电气参数的远程实时监测和综合分析。提出了一种基于离散傅里叶变换（DFT）的同步交流采样算法,通过＂三点＂法实现了频率的跟踪,提高了采样精度。实际应用表明,系统组态灵活、测试精度高、可靠性高。     

Basic Approaches

Abstract

Communication abilities, conflict management, and delegation are all important to students' success in the work force. Instructors often simulate situations that give students skills in these crucial areas by assigning group projects. It is often difficult for instructors to select individuals who will work successfully together. Common methods for selecting groups, many of which are ineffective, are discussed. A student self-assessment method used by the authors to group students according to their skills is described. The method, used for two years in both sophomore-and senior-level courses, has been proven to prevent intragroup skill imbalances.