变频器故障分析及处理

从参数设置、过电压、过电流、过负载等方面详细分析了变频器常见故障产生的原因及处理方法.     

一种实时可靠的移动无线传感器网络贪婪地理路由协议

随着定位装置和定位算法的成熟,基于地理位置信息的贪婪地理路由协议受到广泛的关注与研究.但是,在移动无线传感器网络贪婪地理路由协议中,周期性信标交换条件下采用贪婪转发策略会引起通信暂盲现象,造成数据的丢失.基于右手法则的面遍历算法,对路由空洞的形状不能进行感知,数据转发具有很大的盲目性,转发路径有时比最优路径长很多,造成数据传输时延的增加.针对上述问题提出一种实时可靠的QoS贪婪地理路由协议,该协议通过自适应信标交换算法、基于过渡带思想的贪婪转发策略和基于路标迭代提取和剔除的自适应空洞处理算法,使得数据分组能够实时可靠地传输.NS-2仿真结果表明该协议在不增加控制开销的情况下,能够有效减缓通信暂盲现象,高效地处理路由空洞问题,大大提高协议的实时性和可靠性,可应用于对实时性和可靠性有一定要求的大规模移动无线传感网络.     

WSN密钥预分配方案的安全弹性定量分析

介绍目前流行的同构型无线传感器网络的基本密钥预分配方案、q-composite密钥预分配方案和异构型无线传感器网络的密钥预分配方案,分析这3种密钥预分配方案的安全性。根据敌手对无线传感器网络的攻击能力,建立精确的敌手攻击模型,在该模型下提出一种安全弹性定量分析方法。概率分析和模拟实验结果表明,该方法可用于定量比较密钥预分配方案的安全性。     

A divide-and-conquer hole-filling method for handling disocclusion in single-view rendering

Large holes are unavoidably generated in depth image based rendering (DIBR) using a single color image and its associated depth map. Such holes are mainly caused by disocclusion, which occurs around the sharp depth discontinuities in the depth map. We propose a divide-and-conquer hole-filling method which refines the background depth pixels around the sharp depth discontinuities to address the disocclusion problem. Firstly, the disocclusion region is detected according to the degree of depth discontinuity, and the target area is marked as a binary mask. Then, the depth pixels located in the target area are modified by a linear interpolation process, whose pixel values decrease from the foreground depth value to the background depth value. Finally, in order to remove the isolated depth pixels, median filtering is adopted to refine the depth map. In these ways, disocclusion regions in the synthesized view are divided into several small holes after DIBR, and are easily filled by image inpainting. Experimental results demonstrate that the proposed method can effectively improve the quality of the synthesized view subjectively and objectively.     

设计管理系统信息需求的分析与实现

对信息需求的准确分析是建立设计管理系统的基础。传统的分析方法从过程与人,过程与信息的角度出发综合分析整个机构的信息需求,但是,这种方法没有示识产生和使用信息的范围。为此,;补充分析了信息的机构和项目属性,并通过建立三维组织机构模型;机械、人员和任务模型,有效控制基本的信息存取。     

自然主义——新艺术者的梦幻出口——浅析自然主义在设计史上盛极而衰的原因

自然主义对许多艺术门类都产生过深刻影响,在设计领域中,以自然主义为主要特点的新艺术运动曾在一个重大的设计变革时期——工业革命后风靡各国,然而却又在短短十多年后沉寂下来,本文主要分析自然主义为什么会在设计史的重要阶段产生如此特别的表现。     

The electrical properties and d.c. degradation characteristics of silver doped ZnO varistors

ZnO-Bi₂O₃-based ceramic varistors containing up to 2500 p.p.m. Ag₂O were prepared by the mixed oxide route. The products were characterized in terms of current-voltage (I–V) behaviour, capacitance-voltage (C-V) behaviour and d.c. degradation behaviour. Additions of silver did not significantly affect ZnO grain growth or sintered density, but decreased the non-linearity exponent, a, and increased the breakdown voltage. Silver-doped specimens exhibited an unusual d.c. degradation behaviour, with the leakage current initially decreasing before reaching a stable value. For doping levels 500 p.p.m. Ag₂O, the change in breakdown voltage was positive for both forward and reverse directions. Silver doping appeared to increase the Schottky barrier height under conditions of continuous d.c. stress and improve the degradation behaviour. The optimum levels of Ag₂O addition were in the range 500–1000 p.p.m.     

Web-collaborative filtering: recommending music by crawling the Web

We show that it is possible to collect data that are useful for collaborative filtering (CF) using an autonomous Web spider. In CF, entities are recommended to a new user based on the stated preferences of other, similar users. We describe a CF spider that collects from the Web lists of semantically related entities. These lists can then be used by existing CF algorithms by encoding them as ‘pseudo-users'. Importantly, the spider can collect useful data without pre-programmed knowledge about the format of particular pages or particular sites. Instead, the CF spider uses commercial Web-search engines to find pages likely to contain lists in the domain of interest, and then applies previously proposed heuristics to extract lists from these pages. We show that data collected by this spider are nearly as effective for CF as data collected from real users, and more effective than data collected by two plausible hand-programmed spiders. In some cases, autonomously spidered data can also be combined with actual user data to improve performance.