超强筋小麦粉面包烘焙技术研究

为了烘焙出能充分表现超强筋小麦济麦229面粉品质特性的优良面包,设置了4种醒发时间处理、5种酵母和糖用量处理、4种配粉处理,对超强筋小麦面粉的面包品质进行了评价分析。结果表明,在4个醒发时间处理中,当面团醒发时间为30min和面包胚醒发时间为50min时,烘焙的面包品质最好。在5种酵母和糖用量的处理中,利用吐司面包程序时,干酵母和糖的用量分别为6g和24g时烘焙的面包品质最好；利用法式面包程序时,干酵母和糖的用量分别为3g和18g时烘焙的面包品质最好。在4个配粉处理中,200g超强筋小麦济麦229面粉中添加100g普通小麦济麦22面粉的混粉烘焙得到的面包品质最好。因此,适当调整超强筋小麦粉面包的面团、面包胚醒发时间及物料配比,可以烘焙出品质优良的面包。     

论高校图书馆员信息素养的培育与提升

随着信息技术的迅猛发展,高校图书馆员信息素养日益成为影响图书馆服务质量的关键因素.从信息素养的含义与特征出发,剖析了图书馆员信息素养的现状,提出了提升图书馆员信息素养的途径和方法.     

聚醚型脂肪族聚氨酯预聚体的制备

以ＨＤＩ为异氰酸酯组分，制备聚醚型脂肪族聚氨酯预聚体。对聚醚脱水条件，反应温度和时间，以及预聚体的一些性能进行了探索。     

高新张铜一路高歌

高新张铜股份有限公司系国家国资委管辖的中国高新投资集团公司控股的中央企业,公司自1999年成立以来,现已成为中国最大的环保铜水管生产基地、中国最大的空调制冷铜管生产基地,是国家重点高新技术企业,被誉为民族有色工业的一面旗帜.     

基于二分法迭代的频谱感知节能优化策略

针对认知无线电(CR)系统中频谱感知技术能量效率低的问题,提出了一种基于二分法迭代寻优的联合优化算法。该算法通过联合传输功率与感知时隙进行优化,最大化地提高了CR系统的能量效率,并且在针对优化参数ξ的寻优过程中,使用了二分法与迭代算法结合的寻优方法。通过理论分析,与其他类似算法相比,该算法的寻优速度更快,算法复杂度更低,函数收敛速度更快,实际应用的可扩展性更强。数值仿真分析结果表明,在保证检测性能的前提下,提出的算法能够很好地解决能效的最优化问题,在恒定检测概率Pd=0.9和Pd=0.7条件下,所提出算法的能耗开销均低于其他算法,在系统吞吐量中所提出算法均优于其他算法,为CR系统的发展提供了理论支撑,更加符合未来CR系统的节能发展方向。     

Refractive-diffractive visual system for micro-display of LCOS

One head-mounted display visual system for computer entertainment and three-dimensional display of virtual-reality was achieved, which consists of a hybrid refractive-diffractive eyepiece and a relay reflector. It can be used in micro-display of liquid crystal on silicon (LCOS) diagonal of 18 mm. The whole system has better performance, with 60° field of view, 10 mm exit pupil, 23 mm eye relief, and reduces weight and size.     

FOXBASE~＋与8031单片机系统的接口设计

本文提出一种ＦＯＸＢＡＳＥ＋关系型数据库管理系统与８０３１单片机系统三硬、软接口设计方法．为单片机应用系统后续数据的处理提供了有效的手段．     

聚合物薄膜和纤维的强度及寿命的统计学性质

这本专著是由1999年出版的俄语版《高分子膜的强度和破裂》一书修订和扩充而来的。书中展示了作者在脆性和准脆性断裂的固态高分子方面长期做的理论性和实验研究的结果。作者对各种状况下聚合物断裂的统计学特性进行了综合而详细的研究，包括不同的温度、不同的机械应力、不同表面活性媒质、紫外线和1光照射、化学混合物作用等等各种不同条件下的统计学特性。该研究的关键在于发现了两种主要的强度状态：块体试样的低强度状态和纤维及薄膜的高强度状态。书中详细研究了这两种强度状态下的破裂模型的差别。     

Forecasting volatility by means of threshold models

The aim of this paper is to compare the forecasting performance of competing threshold models, in order to capture the asymmetric effect in the volatility. We focus on examining the relative out‐of‐sample forecasting ability of the SETAR‐Threshold GARCH (SETAR‐TGARCH) and the SETAR‐Threshold Stochastic Volatility (SETAR‐THSV) models compared to the GARCH model and Stochastic Volatility (SV) model. However, the main problem in evaluating the predictive ability of volatility models is that the ‘true’ underlying volatility process is not observable and thus a proxy must be defined for the unobservable volatility. For the class of nonlinear state space models (SETAR‐THSV and SV), a modified version of the SIR algorithm has been used to estimate the unknown parameters. The forecasting performance of competing models has been compared for two return time series: IBEX 35 and S&P 500. We explore whether the increase in the complexity of the model implies that its forecasting ability improves. Copyright © 2007 John Wiley & Sons, Ltd.     

Weight measurement using image-based pose analysis

Image-based gait analysis as a means of biometric identification has attracted much research attention. Most of the existing methods focus on human identification, posture analysis and movement tracking. There have been few investigations on measuring the carried load based on the carrier＇s gait characteristics by automatic image processing. Nevertheless, this measurement is very useful in a number of applications, such as the study of the carried load on the postural development of children and adolescence. In this paper, we investigate how to automatically estimate the carried weight from a sequence of images. We present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during motion. We compute several angles of body leaning and determine the relationship of the carried weight, the leaning angles and the centroid location according to a human kinetic study. Our weight determination method has been verified successfully by experiments.