New delay-dependent robust stability and stabilization for uncertain T-S fuzzy time-delay systems under imperfect premise matching

To alleviate the conservativeness of the stability criterion for Takagi-Sugeno （T-S） fuzzy time-delay systems, a new delay-dependent stability criterion was proposed by introducing a new augmented Lyapunov function with an additional triple-integral term, which was firstly u3ed to derive the stability criterion for T-S fuzzy time-delay systems. By the same approach, the robust stability issue for fuzzy time-delay systems with uncertain parameters was also considered. On the other hand, in order to enhance the design flexibility, a new design approach for uncertain fuzzy time-delay systems under imperfect premise matching was also proposed, which allows the fuzzy controller to employ different membership functions from the fuzzy time-delay model. By the numerical examples, the proposed stability conditions are less conservative in the sense of getting larger allowable time-delay and obtaining smaller feedback control gains. For instance, when the allowable time-delay increases from 7.3 s to 12 s for an uncertain T-S fuzzy control system with time-delay, the norm of the feedback gains decreases from （34.299 2, 38.560 3） to （10.073 3, 11.349 0）, respectively. Meanwhile, the effectiveness of the proposed design method was illustrated by the last example with the robustly stable curves of system state under the initial condition of x（0） = [3 -1].

Stability analysis and controller design of T-S fuzzy systems with time-delay under imperfect premise matching

The issue of the stability and controller design of Takagi-Sugeno（T-S） fuzzy control systems with time-delay is investigated under imperfect premise matching when the T-S fuzzy time-delay model and fuzzy controller do not share the same membership functions.A new stability criterion which contains the information of membership functions is derived.The new stability criterion is less conservative,and enhances the design flexibility.Two numerical examples are presented to illustrate the conservativeness and effectiveness of the proposed method.

通用型Smart Help的开发

该文详细论述了Smart Help系统的开发原因,提出一种开发思想,最后谈及开发体会。

Smart Help的研究与开发

帮助文件是系统软件及应用软件的重要组成部分，目前比较流行的 Ｗｉｎｄｏｗｓ 帮助系统仍存在一些弱点，这就是Ｓｍａｒｔ Ｈｅｌｐ 系统开发的原因。本文简单地探讨Ｓｍａｒｔ Ｈｅｌｐ 开发中句子语义的处理问题。

A smart productivity evaluation method for shale gas wells based on 3D fractal fracture network model

The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characterized by coupling the artificial fracture model and the natural fracture model.Based on an assisted history matching(AHM)using multiple-proxy-based Markov chain Monte Carlo algorithm(MCMC),an embedded discrete fracture modeling(EDFM)incorporated with reservoir simulator was used to predict productivity of shale gas well.When using the natural fracture generation method,the distribution of natural fracture network can be controlled by fractal parameters,and the natural fracture network generated coupling with artificial fractures can characterize the complex system of different-scale fractures in shale after fracturing.The EDFM,with fewer grids and less computation time consumption,can characterize the attributes of natural fractures and artificial fractures flexibly,and simulate the details of mass transfer between matrix cells and fractures while reducing computation significantly.The combination of AMH and EDFM can lower the uncertainty of reservoir and fracture parameters,and realize effective inversion of key reservoir and fracture parameters and the productivity forecast of shale gas wells.Application demonstrates the results from the proposed productivity prediction model integrating FDFN,EDFM and AHM have high credibility.

A Novel Data Schema Integration Framework for the Human-Centric Services in Smart City

Human-centric service is an important domain in smart city and includes rich applications that help residents with shopping, dining, transportation, entertainment, and other daily activities. These applications have generated a massive amount of hierarchical data with different schemas. In order to manage and analyze the city-wide and cross-application data in a unified way, data schema integration is necessary. However, data from human-centric services has some distinct characteristics, such as lack of support for semantic, matching, large number of schemas, and incompleteness of schema element labels. These make the schema integra- tion difficult using existing approaches. We propose a novel framework for the data schema integration of the human-centric services in smart city. The framework uses both schema metadata and instance data to do schema matching, and introduces human intervention based on a similarity entropy criteria to balance precision and efficiency. Moreover, the framework works in an incremental manner to reduce computation workload. We conduct an experiment with real-world dataset collected from multiple estate sale application systems. The results show that our approach can produce high-quality mediated schema with relatively less human in- terventions compared to the baseline method.

The Impact of User and Traffic Models on the Design of the Communications Network in the Smart Grid

A critical component of the smart grid (SG) infrastructure is the embedded communications network, where an important objective of the latter is the expansion of its throughput, in conjunction with the satisfaction of specified latency and accuracy requirements. For the effective design of the communications network, the user and traffic profiles, such as known-user vs. unknown-user populations and bursty vs. non-bursty data traffics, must be carefully considered and subsequently modeled. This paper relates user and traffic models to the deployment of effective multiple access transmission algorithms in the communications network of the SG.

智能电网中基于二分图匹配的网络切片资源分配算法

为了解决智能电网中多类业务的服务质量需求难以同时得到满足的问题并兼顾电力终端和网络侧经济效用,提出了一种基于二分图匹配的网络切片资源分配算法。针对智能电网场景中的控制类和采集类业务,为电力终端分别制定相应的投标信息,并据此计算支付价格和效用矩阵;将网络切片与电力终端之间的资源分配建模为二分图匹配问题,根据不同业务的时延、传输速率或能耗需求,向终端分配不同的切片资源以最大化系统效用。仿真结果表明,相较于已有的双向拍卖算法和贪心算法,所提算法能够提高10%~20%的系统效用。

Applications of smart proxies for subsurface modeling

Using artificial intelligence(AI) and machine learning(ML) techniques, we developed and validated the smart proxy models for history matching of reservoir simulation, sensitivity analysis, and uncertainty assessment by artificial neural network(ANN). The smart proxy models were applied on two cases, the first case study investigated the application of a proxy model for calibrating a reservoir simulation model based on historical data and predicting well production while the second case study investigated the application of an ANN-based proxy model for fast-track modeling of CO2 enhanced oil recovery, aiming at the prediction of the reservoir pressure and phase saturation distribution at injection stage and post-injection stage. The prediction effects for both cases are promising. While a single run of basic numerical simulation model takes hours to days, the smart proxy model runs in a matter of seconds, saving 98.9% of calculating time. The results of these case studies demonstrate the advantage of the proposed workflow for addressing the high run-time, computational time and computational cost of numerical simulation models. In addition, these proxy models predict the outputs of reservoir simulation models with high accuracy.

智慧城市建设与城市数字经济发展——基于双重差分模型的实证分析

选取2011—2020年中国299个城市的面板数据,运用多期双重差分模型实证检验智慧城市试点政策对城市数字经济发展水平的影响。研究表明:智慧城市试点政策对城市数字经济发展水平有显著的促进作用,这一结论通过了倾向得分匹配、排除其他干扰政策和更换政策冲击时间等多种稳健性检验。机制分析表明:智慧城市建设通过提高信息基础设施和信息产业水平来促进城市数字经济发展。异质性分析显示:智慧城市试点政策在科教水平和行政级别较低的城市对数字经济发展的促进作用更大。

外卖智能派单的订单-骑手多目标匹配模型及其适应性算法研究

随着外卖业的快速发展,外卖智能派单成为外卖服务的重要形式。然而,目前相关研究侧重于研究外卖配送路径问题,不利于解决外卖智能派单的多目标动态决策中存在的问题。本文从外卖订单-骑手匹配的角度,分析了外卖平台智能派单的五个基本目标和四个基本约束,构建了多目标的订单-骑手匹配优化模型,进而给出了基于适应性策略的实时优化算法。最后,本文设计了外卖智能派单的仿真实验,对比了骑手-订单数量均衡、骑手供过于求、骑手供不应求等三种情况下的优化情况,验证了基于适应性策略的实时优化算法的优化效果。本研究对外卖平台发展智能派单模式具有较好的理论与实践价值。

基于改进YOLOv8和GMM图像点集匹配的双目测距方法

针对无人塔吊系统的研究需求,提出一种基于改进YOLOv8和GMM图像点集匹配的双目测距方法,对驾驶室外环境中的塔吊吊钩进行检测识别并测距。通过双目摄像头进行图像采集,引入FasterNet骨干网络和Slim-neck颈部连接层,对YOLOv8目标检测算法进行改进,有效检测画面中的塔吊吊钩并获取检测框的二维坐标信息;采用局部敏感哈希方法,并融合分阶段匹配策略,提升GMM图像点集匹配模型的匹配效率,针对检测框中的塔吊吊钩,进行特征点匹配;最后通过双目相机三角测量原理计算得出塔吊吊钩的深度信息。实验结果表明,改进后的YOLOv8算法与原算法相比,精确率P提高了2.9%,平均精度AP50提高了2.2%,模型复杂度降低了10.01 GFLops,参数量减少了3.37 M,在提升检测精度的同时实现了模型的轻量化。改进后的图像点集匹配算法与原算法相比,各个指标表现出更加良好的鲁棒性。最后在工程现场对塔吊吊钩进行识别与测距,误差可接受范围内有效完成了塔吊吊钩的检测识别与测距任务,验证了本方法的可行性。

利用智能科技优化羽毛球运动员训练和比赛表现

通过收集运动员的生理指标数据并结合比赛得分,文章构建了一个多元线性回归模型,发现最大心率和最高速度与比赛得分呈正相关,而平均心率和平均加速度与比赛得分呈负相关。这些结果表明,心肺耐力和速度爆发力是影响羽毛球比赛表现的关键因素,同时比赛中的能量管理不容忽视。文章不仅为羽毛球运动员的训练和比赛策略提供了科学依据,还为智能科技在体育训练中的应用提供了新的视角。

基于实体匹配的互联网餐馆POI数据整合研究

针对当前互联网地图中POI语义信息现势性差的问题,以南昌市餐馆POI数据为研究对象,采用基于属性与距离的实体匹配方法,对百度地图餐馆POI数据和美团网餐馆数据进行整合研究。利用596条百度餐馆数据和747条美团网餐馆数据进行实验,得到了127条语义信息完备且实时性强的餐馆POI数据。实验结果表明,本文方法可行,为互联网地图的动态更新提供了一种新的途径。整合后的POI数据可以为公众日常出行就餐、商业规划等提供强有力的数据支撑。

智慧城市试点政策对节能减排影响机制分析

[研究目的]我国在经济快速发展的同时,从2012年开始,通过分批智慧城市试点政策积极推动节能减排和产业结构升级,这一举措对实现社会主义现代化具有重要意义和研究价值。[研究方法]以2009—2019年282个地级市的面板数据为研究对象,采用多期双重差分回归方法,研究智慧城市试点政策对节能减排的影响,并运用平行趋势检验、时间异质性检验和内生性检验(PSM-DID)方法进行稳健性检验,验证研究的正确性。[研究结论]研究发现,智慧城市试点政策显著降低了单位GDP能耗,且其政策效应随时间增强。为进一步推进智慧城市建设,一是由国家层面机关推行政策并提供方案指导;二是地方政府与高校等研究机构积极合作,促使政策长期化稳定推行;三是支持高新技术和绿色产业发展,充分发挥智慧城市在节能减排中的作用。

供需匹配视域下0~3岁婴幼儿智慧托育服务系统设计研究

目的本文对0~3岁婴幼儿智慧托育服务系统进行研究,以解决碎片化的婴幼儿托育服务与多样化的托育服务需求之间匹配度低的问题。方法本文以服务设计基本原理为基础,在梳理国内外智慧托育服务相关研究的基础上,分析利益相关者关系,并结合对0~3岁婴幼儿家庭的托育现状和托育服务需求的实际调研,进行0~3岁婴幼儿智慧托育服务系统的设计探索。结论本文提出0~3岁婴幼儿智慧托育服务系统架构,有利于实现婴幼儿托育服务的供需平衡,提高托育服务质量和服务效率,为0~3岁婴幼儿智慧托育服务体系的创新提供设计学视角的参考。

基于无线通信技术的智能电表电能计量信息采集方法

为提高电能计量信息的采集效率,引进无线通信技术,开展智能电表电能计量信息采集方法的设计研究。 首先,根据无线网络的通信需求,确定通信协议,匹配智能电表无线通信网络;其次,根据电能计量信息采集的需求,定义所需对象类别,设计电能计量信息采集面向对象通信协议;最后,从近距离和远距离2个方面采集传输电能计量信息,通过采集数据的集成管理,完成采集方法的设计。实验结果表明,按照规范使用该方法采集智能电表电能计量信息,可以提高信息采集数量和效率,控制计量信息反馈和传输的时延。

一种考虑多层信息融合的电网故障诊断辅助决策方法

分析了目前电网故障诊断的研究进展和问题,将信息融合思想引入到故障诊断辅助决策过程中,通过将信息融合中的数据、特征、决策概念对应于电网故障诊断中的具体对象,构建了基于多层信息融合的电网故障诊断辅助决策架构。将概率Petri网的故障诊断方法和WAMS数据故障匹配方法结合用于辅助决策中的特征层融合,并通过案例实践了多层信息融合电网故障诊断辅助决策的应用,解决了电网故障诊断中的一些信息不完备的问题,为未来智能电网的各种高级应用研究提供一种思路。

一种基于位置点的地图匹配改进算法

针对智能手机计算资源有限、功耗要求高、内置GPS模块易受到周围环境的影响等问题,提出了一种改进的基于位置点的地图匹配算法,利用用户个人位置移动的连续性,结合历史轨迹数据进行道路投影,通过纠偏的方法对手机的定位数据与电子地图数据进行匹配,实现了直线道路、十字路口以及多边形区域等各种路况的准确定位。地图匹配算法可用于移动用户行为轨迹的监测和基于移动用户位置的个性化推荐中。

基于快速模板匹配的智能视觉传感器设计

针对传统视觉传感器信号处理能力差、模拟信号输出易受干扰等问题,设计了基于ARM 6410处理器的智能化数字视觉传感器,应用于白车身在线视觉检测系统,完成数据采集、像素级二维定位和通讯控制工作。在Linux平台上,研究了一种快速稳定的像素级模板匹配算法,以去均值归一化灰度互相关法为相似性测度,多分辨率金字塔匹配法为搜索策略,使用"滚动相加补全像素法"的二维求和新方法来优化计算过程,并进行了全局冗错设计,确保传感器工作稳定性。现场实验表明:采用该匹配算法和冗错机制使得视觉传感器定位功能速度快、精度高、鲁棒性好,能较好完成白车身视觉检测系统前端数据采集和处理任务。