CH375在氡析出率仪中的应用

本文论述了USB接口芯片在氡析出率仪中的应用。介绍了CH375的特点，给出了CH375与单片机的硬件接口电路和软件的设计思路，最终实现了氡析出率仪从u盘读写数据的功能。     

Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification

Pixel-based convolutional neural network (CNN) has demonstrated good performance in the classification of very high resolution images (VHRI) from which abstract deep features are extracted. However, conventional pixel-based CNN demands large resources in terms of processing time and disk space. Therefore, superpixel CNN classification has recently become a focus of attention. We therefore propose a CNN based deep learning method combining superpixels extracted via energy-driven sampling (SEEDS) for VHRI classification. The approach consists of three main steps. First, based on the concept of geographic object-based image analysis (GEOBIA), the image is segmented into homogeneous superpixels using the SEEDS based superpixel segmentation method thereby decreasing the number of processing units. Second, the training data and testing data are extracted from the image and concatenated on a superpixel level at a variety of scales for CNN. Third, the training data are input to train the parameters of CNN and abstract deep features are extracted from the VHRI. Using these extracted deep features, we classify two VHRI data sets at single scales and multiple scales. To verify the effectiveness of SEEDS based CNN classification, the performance of SEEDS and three others superpixel segmentation algorithms are compared, and the superpixel extraction via SEEDS method was found to be the optimal superpixel segmentation approach for CNN classification. The scale effect on CNN classification accuracy was investigated by comparing the four superpixel segmentation methods. We found that (1) There is no strong evidence that using scales combinations is better than a single scale in some specific situations; (2) Natural objects with low complexity are not as sensitive to scale as artificial objects; (3) For a simple VHRI that contains clear artificial objects and simple texture, the classification result with multiple scales performs better a the single scale; (4) In contrast, for the complex VHRI containing a large number of complex objects, the classification result with a single small-scale best.     

Nanoscale Metal‐Organic Frameworks: Synthesis,Biocompatibility, Imaging Applications,and Thermal and Dynamic Therapy of Tumors

Nanoscale metal‐organic frameworks (NMOFs) have attracted increasing attention for biomedical applications due to their large specific surface area, good biocompatibility, adjustable structures, and diverse functions. By choosing appropriate metal ions and ligands, NMOFs can be synthesized and regulated to assist the diagnosis and treatment of cancer, acting as imaging agents, drug carriers, and cancer therapeutic agents. This review summarizes the recent advances of NMOFs in synthesis, biocompatibility, imaging, and applications in cancer therapies. Among these, the term “biocompatibility” is used to outline their various biological characteristics, and it is mainly discussed from the aspects of size and surface properties of NMOFs. The imaging section mainly emphasizes the application advantages of NMOFs as imaging agents in magnetic resonance, computed tomography, and fluorescence imaging. The applications of NMOFs in four cancer therapies, including phototherapy, radiotherapy, microwave therapy, and ultrasonic therapy, are addressed, especially for thermal and dynamic therapy. Finally, the prospects and challenges of NMOFs in imaging and cancer therapies are also discussed.     

基于区块链的内河执法管理系统的研究和设计

文章提出一种基于区块链的内河执法管理系统的设计方法,实现了区块链技术在内河航运执法过程中的应用。系统以Hyperledger Fabric为区块链框架,使用微服务技术进行封装,保证与原业务系统的交互性。该设计方法结合了传统中心化存储技术和区块链去中心化存储技术,利用区块链技术防篡改和价值自动传递的特性,可以提高内河执法的安全性和公平性。     

协同催化水解羰基硫和二硫化碳的低温催化剂的研究进展

钢厂副产煤气是钢铁企业产生的二次能源,但是由于其中含有化学稳定性高的COS和CS2,二次利用困难,部分钢铁企业会将其直接高空排放,这样不仅造成了能源浪费,还造成了环境污染.因此,研究者们开发了多种技术用于脱除COS和CS2,其中水解法脱除废气中的COS和CS2是应用较为广泛的脱硫技术.然而,目前水解催化剂的使用温度相对较高,而钢厂副产煤气具有温度低、热值低、二氧化碳及氧含量高等特点.因此,近十年来研究者们研发了多种低温水解催化剂,用于COS和CS2的单独催化水解,甚至两种气体的协同催化水解.这些催化剂的成功研发不仅使得水解催化剂的使用温度大幅度降低,而且保持了其较高的水解效率.COS和CS2单独低温水解催化剂主要包括金属氧化物基催化剂、活性炭基催化剂以及类水滑石基催化剂.其中,金属氧化物基水解催化剂主要以γ-Al2 O3和TiO2为载体,并且以TiO2作为载体能更好地抑制水解催化剂中毒;活性炭基水解催化剂可通过调控其活性成分与含量以及提高活性炭载体自身品质来增强其低温水解性能;而类水滑石基水解催化剂则是通过调整其层板金属的组成、制备方法及条件使得其具有优异的低温水解性能.此外,由于活性炭具有特殊的物理化学特性,COS和CS2的协同水解催化剂主要是以活性炭基低温水解催化剂为主.本文归纳了COS和CS2低温水解催化剂的研究进展,分别对COS和CS2的单独水解催化剂和协同水解催化剂及其催化水解机理进行了介绍,分析了低温水解催化剂研发所面临的问题并提出未来可尝试的研究方向,以期开发更多COS和CS2协同水解的低温催化剂,更重要的是,为今后钢铁行业副产煤气中COS和CS2协同水解低温催化剂的研究方向及工业化应用提供参考.     

Oxygen vacancy induced bismuth basic nitrate with excellent photocatalytic activity

A novel gray bismuth basic nitrate photocatalyst was synthesized. The results of Raman scattering spectroscopy, X-ray photoelectron spectroscopy and photoluminescence spectroscopy supported the presence of oxygen vacancies. Gray bismuth basic nitrate exhibits higher activity than white bismuth basic nitrate and BiOCl which is one of the most extensively studied bismuth-based photocatalytic material. The oxygen vacancies and internal electric field in bismuth basic nitrate possibly make it one of the promising materials for the degradation of environmental pollution.     

参比温度曲线法的改进与实验研究

相变蓄热材料应用广泛,其热物性的测量至关重要。本文基于参比温度曲线法的基本思想,从相变蓄热材料的理论步冷曲线特征和实际测量过程出发,针对相变阶段中能量平衡方程的显热因素和相变结束阶段降温过程的温差因素进行分析和改进,得到了改进后的计算方程。并以十二水磷酸氢二钠、月桂酸和硬脂酸三种相变材料为例进行相变材料步冷曲线的实验研究,结合改进后的计算方程进行相变潜热值的计算。结果表明:改进后的方程对潜热的计算值与DSC测量值相比更接近,误差控制在10%以内。参比温度曲线法的改进对于相变蓄热材料的快速开发和调制具有一定的实践指导意义。     

考虑换道意图的LSTM-AdaBoost车辆轨迹预测模型

不合理的车辆的换道行为是导致交通事故发生的主要原因之一,提前预知换道车辆的轨迹并及时做出相应调整有助于减少事故的发生。针对换道车辆轨迹预测问题,采用将深度学习和集成学习相结合的轨迹预测方法,并考虑了换道意图的影响。建立连续隐马尔可夫模型对车辆进行换道意图检测,提前判别车辆的换道状态,并输入至相应的轨迹预测模型中;将LSTM（long short term memory）作为AdaBoost算法（adaptive boosting）的基预测器,建立LSTM-AdaBoost模型,在多个基预测器同时进行轨迹预测的基础上,通过训练调整各个基预测器的权重并将结果加权集成,提升预测模型的精度和稳定性;通过NSGIM（next generation simulation）数据集对模型进行训练和测试,结果显示意图预测模型在变道前一秒的准确率在90%以上,LSTM-AdaBoost集成轨迹预测模型与单一的LSTM模型相比精度和稳定性显著提升,且预测结果中异常数据更少,具有较好的稳定性;同时预测对比结果也表明增加意图预测模块有助于提升换道轨迹预测的精度。     

基于有功和无功功率协调分配的统一电能质量调节器控制策略

统一电能质量调节器(UPQC)由串联型有源滤波器和并联型有源滤波器组合而成。在常规功率控制策略中,串、并联变流器与馈线之间存在的有功功率环流增大了串、并联单元的容量负担和损耗,且当电源电压跌落较大时,串、并联单元在补偿电能质量过程中有可能发生容量越限。提出了基于有功和无功功率协调分配的UPQC控制策略,通过合理分配串、并联变流器的功率输出,充分发挥串联变流器的作用,使得串联变流器承担部分负载无功功率以减轻并联变流器的负担,并消除有功功率环流;基于并联变流器补偿容量恒定的原则分配电源与储能单元提供的有功功率,以减小配电网馈线过电流的风险,并保证串、并联单元在补偿电能质量过程中不会发生容量越限。在电源电压完全跌落的极限情况下,负载有功完全由储能提供,实现了不间断电源的功能。在PSCAD/EMTDC中搭建了仿真算例,结果验证了所提策略的正确性和有效性,能够实现UPQC串、并联变流器以及储能单元的协调控制。