基于卷积神经网络的5G蜂窝网络无线定位方法

5G蜂窝网络发展迅猛，其覆盖面积将逐渐增大，因此使用5G蜂窝网络进行定位是有研究潜力的研究方向。本文提出一种新的深度学习技术来实现高效、高精度和低占用的定位，以代替传统指纹定位过程中繁重的指纹库生成以及距离计算。该方法建立了一个特殊的卷积神经网络，并根据5G天线信号的接收信号强度指示、相位和到达角等特征量，选择合适的输入数据格式构造样本组建训练集，对该卷积神经网络进行训练。训练得到的卷积神经网络可以替代指纹定位中的庞大指纹库，非常有利于直接在5G移动设备端实现定位。虽然卷积神经网络在训练过程中需要大量时间，但在训练完毕后直接进行分类定位的速度非常快，可以保障定位实现的实时性。本文所实现的卷积神经网络权重与偏置所占内存不到0.5 MB，且能够在实际应用环境中以95%的定位准确率以及0.1 m的平均定位精度实现高精度定位。     

柿竹园多金属矿选矿废水处理试验研究

针对柿竹园多金属矿选矿废水量大、难沉降、pH值高、COD高等特点,研究了石灰沉降+ZJYH03氧化法、石灰沉降+漂白粉氧化法、石灰沉降+NaClO氧化法、聚合硫酸铁沉降+ZJYH03氧化法和石灰沉降+生物氧化法等废水处理工艺,并对比分析了各工艺的处理效果和药剂成本,结果表明: 聚合硫酸铁沉降+ZJYH03氧化法取得了较好的处理效果,该方法具有工艺简单、水质无色透明、药剂成本低等特点。     

浮选柱反浮选脱镁工艺研究

利用浮选柱对高硅镁中低品位胶磷矿(P_2O_5 25.74%、MgO 1.31%、SiO_2 13.79%)进行反浮选脱镁实验,优化了反浮选脱镁工艺,并比较了浮选柱和浮选机的反浮选脱镁效果。确定最佳脱镁工艺条件为:捕收剂用量1.2 kg·t~(-1)、磷酸用量7 kg·t~(-1)、充气流量600 L·h~(-1)、冲洗水流量6 L·h~(-1)、柱径比8,在此条件下,得到P_2O_5品位为27.36%、MgO含量为0.64%的精矿,且精矿产率为92.65%,P_2O_5回收率为98.71%。     

响应面法优化艾叶挥发油的提取工艺及其抗氧化性能研究

以艾叶挥发油提取率为考核指标,采用单因素实验考察浸泡时间、料液比、提取时间等对艾叶挥发油提取率的影响,在此基础上,采用响应面法优化艾叶挥发油的共水蒸馏提取工艺,并通过紫外分光光度法测定艾叶挥发油对DPPH自由基的清除率来评价其抗氧化性能。结果表明,艾叶挥发油的最佳提取工艺条件为:浸泡时间1.5 h、料液比1∶10(g∶mL)、提取时间4.5 h,在此条件下,艾叶挥发油提取率最高,为0.83%。当艾叶挥发油浓度为80 mg·mL~(-1)时,DPPH自由基清除率最高,为39.12%。表明艾叶挥发油具有一定的抗氧化活性。     

Human responses to high levels of carbon dioxide and air temperature

In this study, 30 subjects were exposed to different combinations of air temperature (T_a: 24, 27, and 30°C) and CO₂ level (8000, 10 000, and 12 000 ppm) in a high-humidity (RH: 85%) underground climate chamber. Subjective assessments, physiological responses, and cognitive performance were investigated. The results showed that as compared with exposure to T_a = 24°C, exposure to 30°C at all CO₂ levels caused subjects to feel uncomfortably warm and experience stronger odor intensity, while increased mental effort and greater intensity of acute health symptoms were reported. However, no significant effects of T_a on task performance or physiological responses were found. This indicated that subjects had to exert more effort to maintain their performance in an uncomfortably warm environment. Increasing CO₂ from 8000 to 12 000 ppm at all T_a caused subjects to report higher rates of headache, fatigue, agitation, and feeling depressed, although the results were statistically significant only at 24 and 27°C. The text typing performance and systolic blood pressure (SBP) decreased significantly at this exposure, whereas diastolic blood pressure (DBP) and thermal discomfort increased significantly. These effects suggest higher arousal/stress. No significant interaction effect of T_a and CO₂ concentration on human responses was identified.     

Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

一种5 重real-time PCR筛查转基因水稻方法的建立

以转基因水稻中最常用的CaMV35S启动子、NOS终止子、Cry1Ab/Ac基因、HPT基因及SPS水稻内标基因为研究对象，利用5 种不同的荧光信号（FAM、HEX、Taxas Red、Cy5、Cy5.5）进行多重实时聚合酶链式反应（real-time polymerase chain reaction，real-time PCR）检测方法的研究。通过引物组合筛选、反应体系优化、特异性测试、灵敏度测试、适用性测试等一系列实验，建立了5 重real-time PCR方法，灵敏度可达0.032%。此方法具有灵敏度高、结果准确、通量大等优点，可实现水稻中转基因成分的快速、高效检测。     

三乙醇胺对水泥-粉煤灰体系水化进程与强度的影响机制

为掌握三乙醇胺(TEA)水泥-粉煤灰体系水化与强度的影响规律及其机理,促进粉煤灰的有效利用,采用等温量热法测试分析了不同温度条件下TEA对水泥-粉煤灰体系水化放热行为和体系活化能的变化,通过热重和X射线衍射分析了掺TEA水泥-粉煤灰体系的物相组成及其变化,研究了TEA对水泥-粉煤灰体系水化进程和强度的影响规律.结果 表明,TEA和温度均水泥-粉煤灰体系水化放热和强度发展存在较大影响.TEA提高了粉煤灰在72 h内的反应热,促进了水泥-粉煤灰体系早期的水化放热,并且在高温下更加明显,水泥-粉煤灰体系活化能随着TEA掺量增加而降低,TEA对水泥熟料矿物铝酸三钙(C3A)、硅酸三钙(C3S)和硅酸二钙(C2S)在不同龄期内的水化进程影响不同,TEA在早期对C3A熟料的水化具有明显的促进作用,而对C3S和C2S的水化则有延缓作用.     

GPRS技术在SCADA系统中的实现与应用

GPRS是一种构建于GSM移动网络之上的通信新技术，可以提供中低速率的数据通信能力，本文介绍了GPRS的技术规范和特点，并提出了该技术在SCADA(即数据采集与监视控制)系统中的应用，给出相应的系统结构与软硬件设计要点，说明了其广泛的应用领域与前景。