水平井生产测井技术应用

通过技术合作，对水平井生产动态监测测井技术进行了探索，取得了一定效果。介绍了水平井产出剖面测井的关键技术。介绍了将测井仪器送入水平钻穿的地层中的3个传输测井工艺，包括钻杆传输方法、柔性管传输方法和井下牵引输送方法；介绍了所采用的测井系列，重点分析解决油汽水三相分离问题的测井方案；介绍了水平井测井资料的解释和评价技术；通过模拟实验，确定井中4种流体流型，提出持液率关系式和流量测井响应关系式。     

D1100-11型造气鼓风机技术改造

针对国内采用煤制气工艺的部分中氮肥生产厂发生的造气鼓风机出力不足的现象，根据不同的系统工作状况对原风机的叶轮进行重新设计施工，不改变机组其余部分，以起到增压扩容的效果，从而实现增产降耗的目的。     

单晶硅化物及其应用

本文评述了单晶CoSi_2和NiSi_2的结构特点、各种制备方法、器件应用和发展前景。采用分子束外延(MBE)和“内延”法(Mesotaxy)制备的单晶硅化物质量,电学性能和热稳定性较好。由于首次得到理想的突变的金属——半导体接触,使对金属——半导体接触的理论分析成为可能。硅/单晶硅化物/硅结构在实际应用中非常重要,如单晶硅化物作集电极埋层,能降低集电极串联电阻,克服重掺杂埋层的横扩和自掺杂问题,提高了电路工作速度,减小了器件面积。埋层硅化物也可作为微波传输线的地线,是实现高频集成电路互连的好方法。而采用该结构制备的高速器件——金属基区晶体管(MBT)和穿透基区晶体管(PBT),具有很好的应用前景。     

基于INS定位和WIFI指纹定位技术的无人机室内定位方法研究

针对无人机室内定位问题,提出了一种基于惯性导航系统（INS）和WIFI指纹定位技术的四旋翼无人机的室内定位方法。该方法首先利用WIFI模块测量的信号接收强度信息,根据WIFI指纹定位原理求出该定位时刻下的无人机位置;同时,利用惯性传感器信息计算出INS定位下的无人机位置,结合两种定位结果得出更为精确的位置。最后,通过实验验证了INS定位和WIFI指纹定位相结合的无人机室内定位方法的有效性,且该方法较两种单独定位方法的定位精度更高。     

软件定义网络中交换机处理时延的仿真

针对目前的网络仿真工具在对软件定义网络(SDN)的仿真过程中,未考虑交换机的处理时延的问题,提出一种处理时延的仿真方法,目的是为了使仿真结果更加真实和准确。该方法首先将交换机的转发处理过程分解为对流表的查询操作和执行不同的动作;然后,利用交换机的处理器频率和访存周期,将查询流表和执行动作转换为处理时间。实验中测量了真实环境中不同配置的交换机处理时延,并与利用该方法仿真出的处理时延进行对比。实验结果表明,利用该方法仿真出的处理时延和真实交换机的处理时延基本一致,该方法能够较准确地仿真交换机处理时延。     

An Improved Neural Network with Random Weights Using Backtracking Search Algorithm

This paper proposes a hybrid algorithm by combining backtracking search algorithm (BSA) and a neural network with random weights (NNRWs), called BSA-NNRWs-N. BSA is utilized to optimize the hidden layer parameters of the single layer feed-forward network (SLFN) and NNRWs is used to derive the output layer weights. In addition, to avoid over-fitting on the validation set, a new cost function is proposed to replace the root mean square error (RMSE). In the new cost function, a constraint is added by considering RMSE on both training and validation sets. Experiments on classification and regression data sets show promising performance of the proposed BSA-NNRWs-N.     

k-Multi-preference query over road networks

Nowadays, the road network has gained more and more attention in the research area of databases. Existing works mainly focus on standalone queries, such as k-nearest neighbor queries over a single type of objects (e.g., facility like restaurant or hotel). In this paper, we propose a k-multi-preference (kMP) query over road networks, involving complex query predicates and multiple facilities. In particular, given a query graph, a kMP query retrieves of the top-k groups of vertices (of k facility types) satisfying the label constraints and their aggregate distances are the smallest. A naïve solution to this problem is to enumerate all combinations of vertices with k possible facility types and then select the one with the minimum sum distance. This method, however, incurs rather high computation cost due to exponential possible combinations. In addition, the existing solutions to other standalone queries are for a single type of facilities and cannot be directly used to answer kMP queries. Therefore, in this paper, we propose an efficient approach to process a kMP query, which utilizes an index with bounded space and reduces the computation cost of the shortest path queries. We also design effective pruning techniques to filter out false alarms. Through our extensive experiments, we demonstrate the efficiency and effectiveness of our proposed solutions.     

基于弱监督ECOC算法的肺结节辅助检测

肺结节的准确分类与识别是计算机辅助诊断系统在肺癌诊断领域应用的关键,同时也面临巨大的挑战。该技术不仅在特征表示、样本标记等方面存在发展的瓶颈,而且目前缺少准确、有效的分类识别算法。本文提出了一种结合弱监督纠错输出编码（Error correcting output codes, ECOC）算法和肺结节形状特征表达的肺结节多分类算法。为了提高分类识别的准确率,本文对肺结节的形状特征进行了详细的分析,并提出了一系列准确的形状特征描述向量。在分类识别阶段,算法训练学习了利用专家对肺结节标记信息标记的少量样本,并生成二类分类器,获得编码矩阵。最后,通过计算测试样本编码和编码矩阵每一行的汉明距离,确定样本所属类别。实验结果表明,本文方法能够获得更加准确的分类结果。     

Recent progress in thermoelectric nanocomposites based on solution-synthesized nanoheterostructures

Thermoelectric materials,which can convert waste heat into electricity,have received increasing research interest in recent years.This paper describes the recent progress in thermoelectric nanocomposites based on solution-synthesized nanoheterostructures.We start our discussion with the strategies of improving the power factor of a given material by using nanoheterostructures.Then we discuss the methods of decreasing thermal conductivity.Finally,we highlight a way of decoupling power factor and thermal conductivity,namely,incorporating phase-transition materials into a nanowire heterostructure.We have explored the lead telluride-copper telluride thermoelectric nanowire heterostructure in this work.Future possible ways to improve the figure of merit are discussed at the end of this paper.     

原奥氏体晶粒尺寸对珠光体钢组织及韧性的影响

探索了奥氏体晶粒尺寸对珠光体等温转变组织特征以及对韧性性能的影响规律。研究表明,在相同等温转变温度下,珠光体片层间距无明显变化,随奥氏体晶粒尺寸的增加,先共析铁素体量减少而珠光体团尺寸增加。珠光体断裂韧性受控于裂纹前沿塑性影响区尺寸(1~2)δc,其中δc为临界裂纹张开位移,当原奥氏体晶粒大于(1~2)δc时,裂纹扩展阻力主要来自穿越珠光体片层α、θ相的颈缩、破断。当原奥氏体晶粒尺寸接近或小于(1~2)δc时,裂纹主要沿晶界、珠光体团界、α+θ片层界面扩展,通过扩展路径发生多次弯折消耗能量,随原奥氏体晶粒尺寸增加,准静态断裂韧度J变化幅度较小。而冲击韧性缺口前沿塑性影响区远大于原奥氏体晶粒,大角度晶界将促使裂纹的转折而提高扩展阻力,提高裂纹前沿塑性区大角度晶界密度有利于提高冲击功,冲击韧性Ak随晶粒尺寸的增加显著下降。