Quantitative estimation: From the real world to the psychology lab.

Banaji and Crowder (see record 1990-00387-001) contend "that the movement to develop an ecologically valid psychology of memory has proven itself largely bankrupt" (p. 1185). The authors have two primary concerns. First, they believe that it is rare for studies of real-world cognition to support conclusions that generalize broadly. Second, they are concerned that such studies may be inherently incapable of making significant theoretical or methodological contributions. The research program outlined here can be viewed as a response (in the form of a case study) to the Banaji and Crowder position. Specifically, this project has adopted both theoretical and methodology perspectives from the study of real-world memory to address a long-standing issue in the mainstream memory literature. The project itself was designed to characterize the strategies used to estimate event frequency and the conditions that foster the use of these strategies. A valid model of the estimation process is necessary in order to understand the encoding and representation of event frequency. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A polynomial dynamic system approach to software design for attractivity requirement

Because of the widespread increasing application of Web services and autonomic computing, self-adaptive software is an area gaining increasing importance. Control theory provides a theoretical foundation for self-adaptive software. In this paper, we propose the use of the supervisory control theory of discrete event dynamic systems (DEDS) to provide a rigorous foundation for designing software for reactive systems. This paper focuses in particular on design of software with an attractivity requirement. It studies this problem using the polynomial dynamic system (PDS) model of DEDS. A necessary and sufficient condition for software existence and two algorithms for such software design are presented.     

Individual differences in children's event memory reports and the narrative elaboration technique.

Children between 7 and 8 years old took pan in a staged event at school and 1 week later were assessed using a short form of the Wechsler Intelligence scale for children (third edition) and measures of metamemory, narrative ability, and socioeconomic status. Two weeks following the event, children either received narrative elaboration training (NET; K.J. Saywitz & L. Snyder, 1996) and were prompted with the four NET cue cards at interview; received verbal prompts corresponding to the cue card categories, but without prior training; or were presented with the cards at interview without prior training. Children given verbal labels as prompts recalled as much information as children who received NET training and cue cards. Measures of intelligence were predictive of amount recalled for cards-only children but not for the other 2 groups, indicating that differences in recall between low- and high-IQ groups were attenuated when recall was supported by NET training or verbal prompting. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

单粒子效应对航天器的威胁及空间飞行试验评论（二）

列举了若干航天器因单粒子效应而出现的异常或故障。阐述了单粒子效应空间飞行试验方法和预估方法。总结了多颗航天器单粒子效应空间飞行试验结果。依据空间飞行试验结果，对静止卫星、低太阳同步轨道卫星和椭圆轨道卫星在太阳宁静和太阳耀斑期间单粒子效应作了比较。     

State observability and condition observability for a class of interacting discrete event systems

This paper introduces the concepts of state observability and condition observability for condition systems, a class of systems composed of discrete state components which interact via discrete binary signals called conditions. Given a set of externally observed conditions, state observability implies that the state of the system can be determined from the observations, and condition observability implies that all unobserved input and output conditions of the system can be determined from the observations. In this paper, we present a class of systems which is state observable and condition observable. We present a method to synthesize an observer system to provide state and condition signal estimates for a single component subsystem.     

程控交换机收号系统模拟的研究

本文提出了一种模拟程控交换机收号系统的有效方法,采用消息驱动收号事件表的思想,运用并发控制技术,实现了在没有话路硬设备的条件下多用户同时拨号在线模拟收号控制的功能。本文提出的收号系统模拟方案已成功应用于某国产中大容量程控交换机的呼叫模拟系统中。     

应用事件驱动和有限状态机实现多路数据采集

设计与实现一种基于8位单片机的多路数据采集节点。在硬件上节点由C8051F340单片机,数据采集电路和网络通信电路构成。在节点的软件设计上,设计一种事件驱动结合有限状态机的方式,以实现多路数据实时,高效、智能的采集。事件驱动模型完成数据采集的控制;实际的数据采集功能则由有限状态机完成。依据多路数据间的相关性最为判断,选择Mealy型有限状态机或Moore型有限状态机。在软件结构上具有模块之间耦合度低,逻辑清晰和高扩展性的特点。经实践证明,基本满足设计要求。     

恶意软件鉴别技术及其应用

随着互联网技术的发展和安全形势的变化,恶意软件的数量呈指数级增长,恶意软件的变种更是层出不穷,传统的鉴别方法已经不能及时有效的处理这种海量数据,这使得以客户端为战场的传统查杀与防御模式不能适应新的安全需求,各大安全厂商开始构建各自的"云安全"计划。在这种大背景下,研究恶意软件检测关键技术是非常必要的。针对恶意软件数量大、变化快、维度高与干扰多的问题,我们研究云计算环境下的软件行为鉴别技术,探讨海量软件样本数据挖掘新方法、事件序列簇类模式挖掘新模型和算法及在恶意软件鉴别中的应用,并构建面向云安全的恶意软件智能鉴别系统原型以及中文钓鱼网站检测系统架构。     

RFID复杂事件处理关键技术的研究与改进

RFID复杂事件处理是一个新兴的技术领域,它用来处理大量的简单事件,并从中整理出有价值的事件。RFID事件和传统的事件相比较具有海量性、空间性和时间性、数据不准确性等特征。文中在分析RFID数据特点的基础上,对RFID复杂事件处理的关键技术进行研究和改进,主要介绍RFID数据的清洗和事件检测技术。对于RFID数据清洗部分,提出了多层次过滤的方法使得到的数据更接近真实情况,而事件检测方面则提出了局部检测和全局检测相结合的方法对相关数据进行检测以得到更有意义的数据供上层应用使用。最后,对RFID复杂事件处理的发展趋势做出展望。