羧酸酯稀土对聚氯乙烯的热老化稳定作用研究

用热烘法研究了羧酸酯稀土对聚氯乙烯的热老化稳定作用。利用紫外／可见光谱分析跟踪共轭双键在热老化过程中的变化，比较ＣＥＲＥＳ，有机锡及两者的复合稳定剂的热老化稳定性能，发现ＣＥＲＥＳ与有机锡的稳定性能相当，复合稳定剂具有协同效应。     

高能球磨AL─Cu合金固态合成反应研究

采用扫描电镜、能谱分析、Ｘ射线衍射和示差扫描量热分析研究了具有较大负混合焓的Ａｌ＿ｘＣｕ＿（１－ｘ）对称扩散系合金的高能球磨固态合成反应。高能球磨时组元晶粒细化达纳米级，造成纳米晶界亚互溶，为室温固态合成反应创造了条件，球磨强度对反应进程影响显著，在ｘ＝０．３～０．７范围内仅形成一种金属间化合物。     

Intercardinal面上最大副瓣电平的分析方法

对天线方向图计算中涉及的最大副瓣电平的分析方法进行了探讨，提出了用方向图搜索求解最大副瓣电平；同时给出了用该方法求得在同相矩形口径两种分布形式下Ｉｎｔｅｒｃａｒｄｉｎａｌ面上的最大副瓣电子平，并给出了Ｉｎｔｅｒｃａｒｄｉｎａｌ面的定义。     

乐山旅游景区的地形特点及无线通信方案探究

根据乐山物联网产业规划——"把乐山建成全国物联网应用示范城市"的战略目标,考虑到乐山的城市特点,并为了充分发挥乐山的旅游资源及环境优势,将旅游纳入物联网工程管理项目,形成具有乐山特色的"智能景区"旅游管理项目,文中将新科技与传统资源相结合,给出了基于物联网技术的乐山旅游景区无线通信方案。该方案既可使物联网产业化,又具有创新性与实用性,同时也可大大改善传统人工管理的效率。     

基于用户兴趣度的校园网带宽管理策略应用研究

针对校园网出口拥塞问题,提出一种基于行为分析的用户兴趣建模方法,通过用户参与时间来衡量并计算不同种类应用的用户访问兴趣度,在用户兴趣度的基础上结合通道管理技术进行带宽管理策略研究,实现动态带宽管理。实施结果表明,该方法能够有效地提高用户的网络满意度。     

基于.NET架构高校教学资源库系统研究

.NET的架构下的高校教师信息管理的实现,接着讲解.NET的架构下的学生信息管理的实现,最后说明.NET的架构的学生作业管理系统的实现,还介绍了NET的架构的跨校区合作、交流的实现。     

台儿庄城区饮用水水源地水质放射性水平分析

为了解和掌握台儿庄城区饮用水水源地放射性水平和动态变化,本文以枣庄市生态环境局台儿庄分局提供的饮用水水源地水质放射性数据为基础,探讨了台儿庄城区饮用水水源地水质中α、β放射性质量浓度的动态变化。结果显示:水源地总α、β放射性质量浓度均低于标准限值,总α放射性质量浓度小于总β放射性质量浓度,总α、β放射性水平在水源地和季节变化中差异均不显著(P>0.05)。水源地水质总放射性水平符合我国规定的饮用水指导值。     

Forest harvesting in rural properties: Risks and worsening to the worker’s health under the ergonomics approach

Through an ergonomic approach, this study aimed to evaluate whether workers involved in forest harvesting activities in rural properties are subject to the development of work-related diseases, as well as their consequences. A cross-sectional study with 267 forest workers in rural properties in the Brazilian Central region was used. The following evaluations were performed for each of the activities (felling, delimbing, tracing, manual extraction and manual loading): physical workload evaluation; biomechanical evaluation; risk of repetitive strain injuries/work-related musculoskeletal disorders; environmental noise and vibration factors, where relevant, and thermal overload through the Wetbulb Globe Temperature index. The results showed that in general the physical workload was very high, exceeding the cardiovascular load limits and adding to the need for work reorganization. All activities exposed workers to serious and imminent risks of developing injuries to the spine and lower limbs. Likewise, in general the risk of the appearance of RSI/WMSDs was very high for all activities evaluated. Such results are due to the combination of organizational work factors and factors of the work environment such as exposure to bad weather, uneven terrain, lifting and handling loads above tolerable limits, excessive noise and thermal overload. All of this allows to conclude that ergonomic risks and workers’ health hazards in forest harvesting in rural properties are latent and very worrying, and that these workers are exposed to a form of labor exploitation that invariably leads to physical and emotional exhaustion and therefore to their decreased labor capacity and useful working life.     

A CALPHAD-type Young's modulus database of Ti-rich Ti–Nb–Zr–Mo system

Accurate Young's modulus is the necessity for the design of biomedical Ti alloys. A combinatorial method of the diffusion couple, nanoindentation, electron probe microanalysis (EPMA), and CALculation of PHAse Diagrams (CALPHAD) techniques has been utilized to construct the Young's modulus database of Ti alloys with various compositions in the present work. Two groups of body-centered cubic (bcc) Ti–Nb–Zr–Mo quaternary diffusion couples annealed at 1273 K for 25 h were experimentally prepared. Subsequently, the composition-dependent mechanical properties in the wide compositional range of Ti-based alloys were obtained by using EPMA and nanoindentation probes. Finally, on the basis of the measured Young's moduli in the present and previous work and the modeling parameters of Young's modulus of Ti–Nb–Zr system, the Young's modulus database of bcc Ti–Nb–Zr–Mo system was established through the CALPHAD approach. The CALPHAD-type database of bcc Ti–Nb–Zr–Mo system can provide the accurate Young's moduli of Ti alloys with wide compositions.     

A new time invariant fuzzy time series forecasting method based on particle swarm optimization

In the analysis of time invariant fuzzy time series, fuzzy logic group relationships tables have been generally preferred for determination of fuzzy logic relationships. The reason of this is that it is not need to perform complex matrix operations when these tables are used. On the other hand, when fuzzy logic group relationships tables are exploited, membership values of fuzzy sets are ignored. Thus, in defiance of fuzzy set theory, fuzzy sets’ elements with the highest membership value are only considered. This situation causes information loss and decrease in the explanation power of the model. To deal with these problems, a novel time invariant fuzzy time series forecasting approach is proposed in this study. In the proposed method, membership values in the fuzzy relationship matrix are computed by using particle swarm optimization technique. The method suggested in this study is the first method proposed in the literature in which particle swarm optimization algorithm is used to determine fuzzy relations. In addition, in order to increase forecasting accuracy and make the proposed approach more systematic, the fuzzy c-means clustering method is used for fuzzification of time series in the proposed method. The proposed method is applied to well-known time series to show the forecasting performance of the method. These time series are also analyzed by using some other forecasting methods available in the literature. Then, the results obtained from the proposed method are compared to those produced by the other methods. It is observed that the proposed method gives the most accurate forecasts.