Construction of the Intelligent and Multiple Object Decision Support System for Making Train Diagram

Multiple objects decision is used widely in many complex fields. In this paper an idea is provided to construct a train diagram intelligent multiple objects decision support system (TDIMODSS). And the reference point method is used to solve the complicated and large scale problems of making and adjusting train schedule. This paper focuses on the principle and framework of the model base, knowledge base of train diagram. It is shown that the TDIMODSS can solve the problems and their uncertainty in making train diagram, and can combine the expert knowledge, experience and judgement of a decision maker into the system. In addition to that, a friendly working environment is also presented, which brings together the human judgement, the adaptability to environment and the computerised information.

基于多尺度融合金字塔焦点网络的接触网零部件检测

作为高铁牵引供电系统的重要组成部分,接触网系统承担着向动车组传输电能的重要功能.实际工程运营表明,受弓网交互产生的持续冲击以及外部环境的影响,接触网支撑部件可能会出现“松、脱、断、裂”等缺陷,导致接触网结构可靠性下降,严重影响接触网系统稳定运行.因此,及时精确定位接触网支撑部件(CSCs),对保障高铁安全运行和完善接触网检修维护策略具有重大意义.然而,CSCs的检测通常面临着零部件种类多、尺度差异大、部分零部件微小的问题.针对以上问题,本文提出一种基于多尺度融合金字塔焦点网络的接触网零部件检测算法,将平衡模块和特征金字塔模块相结合,提高对小目标的检测性能.首先,设计了可分离残差金字塔聚合模块(SRPAM),用于优化模型多尺度特征提取能力、扩大感受野,缓解CSCs检测的多尺度问题;其次,设计了一种基于平衡特征金字塔的路径聚合网络(PA-BFPN),用于提升跨层特征融合效率和小目标检测性能.最后,通过对比试验、可视化实验和消融实验证明了所提方法的有效性和优越性.其中,所提的MFPFCOS在CSCs数据集上的检测精度(mAP)能够在达到48.6%的同时,实现30的FLOPs(Floating point operations per second),表明所提方法能够在检测精度和检测速度之间保持良好的平衡.

基于Business Objects的区域卫生综合管理和决策支持系统设计和实现

介绍了基于Business Objects的区域卫生综合管理和决策支持系统的设计、实施要点以及关键技术,主要涵盖数据建模、定义语义层、开发图报表等方面。通过多个区域卫生综合管理和决策支持系统的工程实践说明,采用上述关键技术和实现要点进行设计和实施,取得较好的效果。

基于Object ARX实现公路挡土墙交互式设计

在程序化设计中 ,AutoCAD是广泛使用的公路设计软件 ,可方便、快捷地实现公路挡土墙设计 ,文章采用数据库技术和ObjectARX进行二次开发 ,实现了公路挡土墙的交互式设计 ,详细叙述了公路挡土墙的设计过程和实现代码。

基于视觉显著熵与Object Bank特征的图像记忆性模型

为了提高图像的记忆性预测能力,提出了一种基于视觉显著熵与改进的Object Bank特征的图像记忆性自动预测方法。该方法改进了传统的Object Bank特征,提取图像的视觉显著熵特征,利用支持向量回归机(SVR)训练得到图像的记忆性预测模型。实验结果表明,在预测准确性方面,所提方法比现有的方法的相关系数高出3个百分点。所提出的模型可以应用于图像的记忆性预测、图像检索排序、广告评价分析等方向。

基于ObjectARX三维管子支架系统设计

本文主要介绍了在AutoCAD2005平台下的船舶管系支架系统,此系统以Viusal studio 2002和ObjectARX2005为开发工具,实现了管子支架的智能化设计。管子支架设计系统提供了11种标准管子支架,每一种管子支架又可以衍生出2～4种变体,这样基本上能满足船舶生产设计中管子支架的设计。本系统主要的特点是,能灵活创建形状复杂的组合式支架,能够自动的由设计好的管子支架三维图形生成二维工程图,用于管子支架的生产和安装。

A Simulation-Based Decision Support System for Manufacturing Enterprise

The simulation-based decision support system (SBDSS) is designed to achieve a highlevel of performance, flexibility and adaptability, in response to meet the special needs of productionand logistics management during the economic system reform era in China. It consists two subsys-tems: the object library modeler (OLM) and the simulation engine and its manager (SEM). UsingSBDSS the decision makers can work out their optimal production choice under certain circumstancesthrough scenario simulations. And they can test a set of virtual organizations reflecting systems re-form before a real reorganization has been taken, as well as perform a virtual manufacturing processfor a new product design (Copyright @ 1998 IFAC).

主客观建成环境、社会支持与流动人口心理融入——以武汉东湖高新区为例

流动人口心理融入是推进以人为本新型城镇化建设的重要内容。以武汉东湖高新区为例,采用结构方程模型,揭示中部地区流动人口心理融入的整体特征和主要影响因素。研究表明,流动人口心理融入水平整体上不高,且身份认同维度得分最低。建成环境的客观测度和主观感知对流动人口心理融入具有显著的直接效应。主客观建成环境也会通过情感支持和社交支持对心理融入产生显著的间接影响。此外,社会支持对心理融入具有显著的促进作用,但仅社交支持的影响显著。

MULTIPLE KERNEL RELEVANCE VECTOR MACHINE FOR GEOSPATIAL OBJECTS DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES

Geospatial objects detection within complex environment is a challenging problem in remote sensing area. In this paper, we derive an extension of the Relevance Vector Machine (RVM) technique to multiple kernel version. The proposed method learns an optimal kernel combination and the associated classifier simultaneously. Two feature types are extracted from images, forming basis kernels. Then these basis kernels are weighted combined and resulted the composite kernel exploits interesting points and appearance information of objects simultaneously. Weights and the detection model are finally learnt by a new algorithm. Experimental results show that the proposed method improve detection accuracy to above 88%, yields good interpretation for the selected subset of features and appears sparser than traditional single-kernel RVMs.

中华民族共同体视域下对口支援西藏研究

基于“经济居先—文化认同—经济一体”的中华民族共同体发展逻辑,探讨了对口支援西藏这一以铸牢中华民族共同体意识为核心目标的机制。中心观点认为:对口支援西藏作为中国特色的本土实践产物,是数千年来中华各民族结成共同体对抗自然灾害的历史实践的必然结果,也是建设中华民族共同体的历史产物和重要手段。其基础性作用是补齐国内统一大市场的短板,关键性作用是构筑中华民族共有精神家园,战略性作用则是推进中华民族共同体建设。展望未来,对口支援西藏在实现西藏地区基础设施和民生项目等“物”的建设基础上,应更加着眼于“人”的全面发展,致力于提升西藏地区各族群众的文化水平与文化认同,提高就业和劳动技能,增强中华文化认同。通过实现均衡的文化水平以及共有的文化认同,促进共同发展和共同富裕,进而推动国内统一大市场的发展,牢固树立中华民族的文化自信和文化认同,为中华民族共同体的进一步发展和壮大,实现中华民族伟大复兴提供强大动力。

Animal Classification System Based on Image Processing &Support Vector Machine

This project is mainly focused to develop system for animal researchers & wild life photographers to overcome so many challenges in their day life today. When they engage in such situation, they need to be patiently waiting for long hours, maybe several days in whatever location and under severe weather conditions until capturing what they are interested in. Also there is a big demand for rare wild life photo graphs. The proposed method makes the task automatically use microcontroller controlled camera, image processing and machine learning techniques. First with the aid of microcontroller and four passive IR sensors system will automatically detect the presence of animal and rotate the camera toward that direction. Then the motion detection algorithm will get the animal into middle of the frame and capture by high end auto focus web cam. Then the captured images send to the PC and are compared with photograph database to check whether the animal is exactly the same as the photographer choice. If that captured animal is the exactly one who need to capture then it will automatically capture more. Though there are several technologies available none of these are capable of recognizing what it captures. There is no detection of animal presence in different angles. Most of available equipment uses a set of PIR sensors and whatever it disturbs the IR field will automatically be captured and stored. Night time images are black and white and have less details and clarity due to infrared flash quality. If the infrared flash is designed for best image quality, range will be sacrificed. The photographer might be interested in a specific animal but there is no facility to recognize automatically whether captured animal is the photographer’s choice or not.

Design and Evaluation of a Connected Insole to Support Healthy Aging of Frail Patients at Home

The main objective of this work is to develop a technological solution to support active aging of frail older individuals. In this perspective, we designed a connected insole in order to encourage frail elderly persons to become more active in their daily life. The project presented in this paper, funded by the French National Research Agency, aims to design and evaluate an original solution to follow and encourage walking activity. The evaluation is performed in two stages: adjusting tests in a living-lab with nine healthy elderly, then clinical evaluation of three frail patients followed over one month. We designed a noninvasive wireless insole, which automatically measures gait parameters and transmits information to a remote terminal via a secure Internet connection. The first laboratory tests of this technological solution showed good reliability measurements as well as good user acceptability. The average distance error obtained on volunteers is 3.2% and the accuracy of the average walking speed is 96.8% thanks to design of a calibration system based on a personalized stride length measurement. Finally, the introduction of an induction charging instead of a button cell makes the system perfectly autonomous. In this paper, we present the specifications of the solution, the design of the connected insole, the methods used to measure desired parameters, the results of the living-lab tests, and the work in progress.

考虑多失效模式的桩锚结构鲁棒性设计及经济性优化

目的 研究岩土力学参数的不确定性对桩锚支护体系的整体影响,探究经济性和鲁棒性共同作用的优化设计。方法 选取黄土地区工程案例,考虑支护桩隆起破坏、支护桩倾覆破坏、整体稳定性破坏三类破坏形式,使用蒙特卡洛及点估计法嵌套的方式求出不同设计组合下的失效概率及标准差;同时考虑优化设计的经济性,筛选出桩锚支护结构体系的鲁棒性优化设计方案。结果 随着桩长增加,主控模式由隆起破坏向整体稳定性改变,不同的几何参数对结构鲁棒性影响不同,优化后可以获得同时满足经济性、鲁棒性及可靠度要求的最佳设计方案。结论 在桩锚结构设计中考虑经济性优化及多失效模式的鲁棒性设计是必要的。

海上风电场自适应多目标无功优化控制策略

针对传统固定权重多目标无功优化在应对新型电力系统复杂多变的工况时无法针对实时工况做出最合适的控制决策的问题,提出一种自适应多目标无功优化控制策略。该策略以系统有功网损和并网点电压偏离量的加权最小作为目标函数,目标函数的权重系数根据并网点电压的偏离情况自适应调节。首先,分析海上风电场并网点电压波动与有功、无功输出的关系,建立相应的无功分配模型,并针对风电机组及静止无功发生器(static var ge nerator,SVG)的输入输出特性,建立相应的无功控制模型。此外,考虑海上运行的功率约束、安全运行约束等,采用变惯性权重粒子群优化算法对无功控制策略进行求解。最后,在MATLAB中搭建海上风电场模型进行仿真验证,仿真算例表明:相较于传统固定权重多目标无功优化,自适应多目标无功优化控制策略可以根据电网实时工况,迅速调整各优化目标的优先级,较好地实现有功网损和并网点电压的协调优化。

基于非支配排序的机场特种车辆调度

在机场过站期间,航空器需要依靠特种车辆来提供多项地面保障服务,包括燃油加注、配餐、装卸行李货物、清洁和拖车牵引等。这些服务由相应的特种车辆完成,特种车辆的调度对于提高地面保障服务水平和资源利用率至关重要。目前机场普遍采用基于人工的单车单航班服务的特种车辆调度方式,这种方式成本高、效率低,是导致航班延误的重要因素之一。为解决机场地面拖车保障服务调度的问题,根据拖车服务运行特点,建立拖车行驶总路程和航班延误最小化的车辆路径问题模型。与传统固定算法不同,为适应拖车调度的问题,采用了基于启发式算法的非支配排序思想对模型求解。通过国内首都机场的实际航班数据进行验证,研究结果显示,该算法较实际运行情况下延误数量减少了27%,有效地降低了航班延误率。

Non-Intrusive Objective Speech Quality Measurement Based on Fuzzy GMM and SVR for Narrowband Speech

Based on fuzzy Gaussian mixture model （FGMM） and support vector regression （SVR）,an improved version of non-intrusive objective measurement for assessing quality of output speech without inputting clean speech is proposed for narrowband speech.Its perceptual linear predictive （PLP） features extracted from clean speech and clustered by FGMM are used as an artificial reference model.Input speech is separated into three classes,for each a consistency parameter between each feature pair from test speech signals and its counterpart in the pre-trained FGMM reference model is calculated and mapped to an objective speech quality score using SVR method.The correlation degree between subjective mean opinion score （MOS） and objective MOS is analyzed.Experimental results show that the proposed method offers an effective technique and can give better performances than the ITU-T P.563 method under most of the test conditions for narrowband speech.

基于多目标优化方法的滑坡易发性评价

[目的]在滑坡易发性评价中,滑坡预测模型的选取和优化对运算过程的高效性和预测结果的准确性至关重要。针对现有单目标遗传优化算法(genetic algorithm,GA)易陷入早熟、局部搜索能力差、全局优化速度慢等问题,拟提出一种新的优化算法框架,将多目标遗传算法中的经典算法—带精英选择策略的非支配排序算法(the nondominated sorting genetic algorithm with an elite strategy,NSGA-Ⅱ)与常用机器学习模型[随机森林(random forest,RF)、支持向量机(support vector machine,SVM)]相结合,进行滑坡易发性预测。与单目标优化不同的是,NSGA-Ⅱ算法可同时进行特征选择和超参数优化,并使预测模型同时实现最优准确度、召回率、精密度和AUC(area under curve,AUC)。[方法]以三峡库区重庆段为研究区,从模型精度评价、滑坡灾害易发性分区图、分区统计3个方面对4种优化模型(RF-GA、SVM-GA、RF-NSGA-II、SVM-NSGA-II)进行对比分析。[结果]NSGA-II较GA优化效果更明显,在模型评价和滑坡易发性分区方面,RF-NSGA-II模型具有更高的预测性能,4项评价值分别为80.91%,81.89%,80.07%,88.60%,证明NSGA-II优化算法的有效性;极低至极高危险区面积占比依次为23.06%,22.46%,22.96%,19.99%,11.53%,验证了RF-NSGA-II模型的可靠性。由RF-NSGA-II模型预测得到的易发性图表明,高和极高易发性区集中在研究区北部,且由东向西呈带状分布。[结论]研究采取的基于多目标选择的RF-NSGA-II模型,为滑坡易发性评价中机器学习模型调优提供新思路。

基于多目标优化的精密机床T形床身双三点支承设计

支承方式是精密机床床身的刚度的重要影响因素之一,而良好的机床刚度对机床整体的加工精度提升有着重要意义。为提高机床的动静态特性,基于多目标优化法和有限元计算,提出一种双三点支承加辅助支承的支撑方法,并利用某精密卧式加工中心床身进行详细的验证。研究结果表明,通过多目标优化算法设计的支承方式,相比于工程上常用的支承方法,一阶固有频率提高15.29%,X向前后导轨平均变形分别减少59%、6%,验证了所提出方法的有效性和正确性。