一种基于链路流量的路由算法模型

依靠流量工程技术解决端到端延迟的问题是在网络业务流量已知的前提下,不适合未来网络业务类型的不确定性和流量需求的突发性.本文提出了一种通过链路实时流量控制节点状态来选择路由的思想,给出了算法的数学模型,探讨了该算法对业务流量的适应性,为下一步的研究提出了新的课题和思路.     

加速器控制系统中温度采集单元设计

介绍了基于AT89C51单片机的温度采集单元的结构与组成,分析了该单元的测温原理与特点。经现场试验,得到了理想的测量结果,测温准确度达到±0.8℃。该单元具有功能强、电路设计新颖、控制可靠、抗干扰能力强、组网方便等特点,满足了国家重大科学工程———兰州重离子加速器冷却存储环的控制系统要求。     

基于CREATOR与VEGA技术的虚拟场景优化技术及研究

随着虚拟现实技术的广泛应用,虚拟场景的真实感与交互的实时性已成为急待解决的一对矛盾.从提高桌面虚拟现实系统实时交互性入手,对基于软件的虚拟场景优化技术进行重点研究,使用一套基于CREATOR的技术处理流程实现了一次实验性场景优化过程,并在此基础上对过程中通过VEGA测试得到的指标参数进行详细分析,最终阐明影响场景优化效果的因素以及各因素之间的关系,指出了有效提高优化效率的方法及其原理,对于虚拟系统实时交互性的提高具有普遍意义.     

TabuVis: A tool for visual analytics multidimensional datasets

Efficient video summarization leads to facilely exploring video content appropriate to the user’s intention with low cognitive demand. In this paper, we present a novel approach for summarizing videos in the form of multi-scale structures that exhibit different video features at different scale levels and allow exploration of video contents with multi-scale interaction. The semantic relationship between structures is addressed and user intention is also considered and integrated in the summarization and interaction. This paper first introduces the concept of multi-scale structures for summarizing video content and describes three different types of structures that present important features at different scale levels. Furthermore, a continuous zooming interaction for browsing multi-scale structures is provided to facilitate video browsing. Finally, an elaborate user study is conducted showing that user performance on understanding and browsing videos is improved.     

An improved localization algorithm with wireless heartbeat monitoring system for patient safety in psychiatric wards

Psychiatric patients often require continuous monitoring to keep them out of dangerous situations. Accordingly, hospitals hire additional staff to monitor patients' vital signs, maintain patient safety, and ensure that patients do not leave the hospital without notice. However, ward staff have difficulty knowing whenever a psychiatric patient is stepping into potential danger zones or encountering any safety threat. This paper reports the development of a wireless monitoring system to improve patient safety in psychiatric wards and reduce avoidable risks. The proposed system can ease the workload of nurses, help locate patients, and monitor patients' heartbeats. A two-step clustering localization algorithm is proposed for use in tracking patients' locations. This study marks for the first time that heartbeat detection using a ZigBee-based platform with localization function has been proposed. A proof-of-concept system is developed to understand the current hardware challenges and to enable functional analysis of the proposed ZigBee-based patient localization system. The error distance of the proposed localization algorithm is approximately 1 m. Its location accuracy is 90% with the error distance of up to 3 m. The proposed system is expected to improve patient safety significantly in psychiatric wards at low cost.     

在线可编程手持数据采集设备系统的层次化软件设计

介绍了ATMEL公司的高性能AVR单片机ATMega128L的在线可编程(ISP)的特性并在手持数据采集设备系统中实现了面向对象的应用软件和相关通讯软件、监控软件的层次化设计,扩大了手持式数据采集设备在工业控制计算机领域中的应用范围。     

Study on a new and effective fuzzy PID ship autopilot

Ship autopilots are usually designed based on Proportional Differential (PD) and Proportional Integrate Differential (PID) controllers because of their simplicity, reliability, and ease of construction. However, their performance in various environmental conditions is not as good as desired. This disadvantage can be overcome by adjusting works or constructing adaptive controllers, although these methods are complex and not easy. This article presents a new method for constructing a ship autopilot based on the combination of fuzzy logic control (FLC) and linear control theory (PID control). The new ship autopilot has the advantages of both the PID and FLC control methodologies: ease of construction, and optimal control laws can be established based on ship master knowledge. Therefore, the new ship autopilot can be well adapted with parameter variations and strong environment effects. Simulation using MATLAB software for a ship with real parameters showed high effectiveness of the fuzzy PID autopilot in course-keeping and course-changing maneuvers in comparison with the ordinary PID ship autopilots.This work was presented, in part, at the 8th International Symposium on Artificial Life and Robotics, Oita, Japan, January 24–26, 2003     

Intelligent Collectives: Theory,Applications, and Research Challenges

ABSTRACT

Nowadays, along with the rapid development of information technologies, very often solving a common problem is entrusted to many autonomous units (people, systems). With such an approach, one can tap into the so-called collective intelligence (CI)—emerging from the collaboration and competition of many individuals. In this paper, we present recent research on CI related to the effectiveness of using the wisdom of crowds to perform a wide range of problems. For this aim, we first introduce a general framework of CI involving key characteristics of intelligent collectives. Next, we focus on the problem of how diversity and collective cardinality influence collective performance. Then, its applications, which are widely used such as prediction markets and Delphi method, will be presented. Furthermore, some research challenges on the capacity of combining CI with other research fields such as machine learning and social networks are also discussed.     

基于T-S模糊神经网络的涡扇发动机加速控制

航空发动机足一个结构复杂的非线性强多变量控制对象。随着航空发动机全权限数字式电子控制器的研制和应用,发动机加速性能要求的不断提高,对发动机加强智能控制技术的应用是必然的趋势。因此将智能控制引入到航空发动机控制系统中,根据模糊控制与神经网络结合的思想,针对涡扇发动机加速控制中的最优控制问题,提出了基于T—S（Tagaki—Sugeno）模型的模糊神经网络的发动机加速控制,并对控制系统的结构、网络结构进行仿真实现。仿真结果表明方法在满足发动机加速控制中各约束条件的前提下,不喘振、不超温、使发动机加速过程安全稳定,且加速时间短。