应用免疫策略对蒙脱石HIV DNA疫苗免疫作用的研究

目的运用Prime—Boost策略,研究蒙脱石(MMT)DAN疫苗对小鼠免疫功能的影响。方法选用3H-TdR掺入法测定MMT和DNA联合免疫小鼠脾淋巴细胞的增殖反应;采用ELISA试剂盒检测血清中的抗体和细胞因子。结果使用痘苗病毒和/或加入MMT加强免疫DNA疫苗后,均可以提高其体液和细胞免疫功能。结论“Prime-boost-boost”免疫方案在小动物模型中取得了较好的免疫效果。     

我国水处理高级氧化技术发展战略的探讨

我国面对水环境中的难于生物降解的有毒有害有机污染物日益增加的严重局面，大力研究对之有特效的各种高级氧化水处理技术并使之迅速获得大规模工业应用势在必行，这不仅是水处理新方法新设备研究的迫切课题，而且也是我国建设节约型社会和自主创新型国家所必须的技术进展。在概括性地讨论各类水处理高级氧化技术优缺点的基础上，对我国目前应当优先发展的高级氧化技术及其技术关键提出自己的见解。     

A low-cost real time virtual system for postural stability assessment at home

Background and objective

The degeneration of the balance control system in the elderly and in many pathologies requires measuring the equilibrium conditions very often. In clinical practice, equilibrium control is commonly evaluated by using a force platform (stabilometric platform) in a clinical environment.In this paper, we demonstrate how a simple movement analysis system, based on a 3D video camera and a 3D real time model reconstruction of the human body, can be used to collect information usually recorded by a physical stabilometric platform.

Methods

The algorithm used to reconstruct the human body model as a set of spheres is described and discussed. Moreover, experimental measurements and comparisons with data collected by a physical stabilometric platform are also reported. The measurements were collected on a set of 6 healthy subjects to whom a change in equilibrium condition was stimulated by performing an equilibrium task.

Results

The experimental results showed that more than 95% of data collected by the proposed method were not significantly different from those collected by the classic platform, thus confirming the usefulness of the proposed system.

Conclusions

The proposed virtual balance assessment system can be implemented at low cost (about 500$) and, for this reason, can be considered a home use medical device. On the contrary, astabilometric platform has a cost of about 10,000$ and requires periodical calibration. The proposed system does not require periodical calibration, as is necessary for stabilometric force platforms, and it is easy to use. In future, the proposed system with little integration can be used, besides being an emulator of a stabilometric platform, also to recognize and track, in real time, head, legs, arms and trunk, that is to collect information actually obtained by sophisticated optoelectronic systems.     

Human tracking system based on adaptive multi-feature mean-shift for robot under the double-layer locating mechanism

Human tracking has been a challenging task for robot in the past decades. In this paper, to realize the human following in a cluttered environment, a human tracking system based on adaptive multi-feature mean-shift (AMF-MS) under the double-layer locating mechanism (DLLM) is proposed to solve the problem of distinguishing target, occlusion, and quick turning. The DLLM, considering the course location processing and fine location processing, is designed to estimate the person’s position using the fusion of heterogeneous data. As an ID tag attached on target can be detected by RF antennas, the course locating method can track the target easily and quickly. The Bayes rule is introduced to calculate the probability where the tag exists due to the instability of RF signals. In the fine locating step, the AMF-MS is proposed because it can reduce computational load and represent target by multi-feature histogram function. Meanwhile, we combine extended Kalman filter and AMF-MS to overcome MS’s inability of occlusion. To control the robot following the target person precisely, an intelligent gear shift strategy based on fuzzy control is implemented by analyzing the robot structure. Experiments demonstrate that the proposed approach is robust to handle complex tracking conditions, and show the system has an optimum performance.     

基于局部自适应先验MRF模型的快速BP图像分割算法

针对常规MRF分割模型不能有效描述图像的局部特征、常导致图像的过分割现象,提出了一种局部自适应先验的MRF模型。该模型利用图像的邻接区域信息建立了一种局部自适应特征MRF模型。基于提出的模型,建立了一种具有快速收敛策略的区域BP算法对MRF模型的区域消息进行传递,有效解决了区域BP算法的计算量大的问题。实验结果表明,与常规区域BP算法相比,提出的分割方法具有更快的分割速度和精度。     

基于蚁群聚集信息素的半监督文本分类算法

半监督文本分类中已标记数据与未标记数据分布不一致,可能导致分类器性能较低。为此,提出一种利用蚁群聚集信息素浓度的半监督文本分类算法。将聚集信息素与传统的文本相似度计算相融合,利用Top-k策略选取出未标记蚂蚁可能归属的种群,依据判断规则判定未标记蚂蚁的置信度,采用随机选择策略,把置信度高的未标记蚂蚁加入到对其最有吸引力的训练种群中。在标准数据集上与朴素贝叶斯算法和EM算法进行对比实验,结果表明,该算法在精确率、召回率以及F1度量方面都取得了更好的效果。     

纺织企业的原料库存控制模型研究

合理控制库存量,降低原料库存成本对纺织企业提高市场竞争力具有重大的意义。通过建立原料库存的不定量不定期控制模型,并采用遗传算法求解,给出了满足平均库存成本最小的(s,S)控制策略,并通过实例验证算法的有效性。     

基于无线传感器网络的动态手势识别算法及动态演示

与语言文字一样,手势是人类沟通交流的重要方式。在计算机技术高速发展的现在,手势识别技术的出现,能大大提高用户与机器设备、计算机部件之间的交流效率。现在采用摄像头跟踪进行手势识别的技术已经使用一段时间,但是其对硬件的要求高、分析的数据大,使得其产品相对昂贵或者识别能力不够强。与摄像头跟踪技术相比,基于无线传感器网络的手势识别速度更快,价格更便宜并且实用。通过对移动终端设计一套手势识别的算法,利用无线传感器网络实现用手机终端操作计算机的终端的一系列复杂命令。实验证明,该算法适用于大型游戏操作和平台展示,使用户不用通过购买相关硬件直接安装使用。     

基于线性判别分析的寄生虫卵识别

寄生虫病是危害人类及动物健康的疾病之一。为了实现对寄生虫卵的自动识别,辅助临床检测,提出基于线性判别分析的寄生虫卵识别方法。采用结合形态学滤波和Otsu的方法分割得到寄生虫卵及其轮廓,提取形状特征和纹理特征作为特征向量集,并利用线性判别分析实现对寄生虫卵自动识别。实验结果表明,该方法对6种寄生虫卵的识别正确率达到90.70%。     

一种新型蓄电池充电控制策略研究

在风光互补发电系统中,蓄电池作为风光互补发电系统的储能设备,在整个发电系统中起着非常重要的作用,而蓄电池充电控制方法的优劣,是影响其使用寿命的一个重要因素。文章对风光互补发电系统中蓄电池的常用充电控制方法进行了分析,提出了一种新的控制策略,即将蓄电池充电电压、充电电流采样值分别与蓄电池事先设定好的恒压过充电压、恒流充电限流值和浮充电流值进行实时比较,来判断采取哪种合理的充电方式,对蓄电池起到尽可能的保护,从而延长了风光互补发电系统中蓄电池使用寿命。