Differential Scheme for Reconfigurable Intelligent Surface-Based Spatial Modulation System

In this paper,a differential scheme is proposed for reconfigurable intelligent surface(RIS)assisted spatial modulation,which is referred to as RISDSM,to eliminate the need for channel state information(CSI)at the receiver.The proposed scheme is an improvement over the current differential modulation scheme used in RIS-based systems,as it avoids the high-order matrix calculation and improves the spectral efficiency.A mathematical framework is developed to determine the theoretical average bit error probability(ABEP)of the system using RIS-DSM.The detection complexity of the proposed RIS-DSM scheme is extremely low through the simplification.Finally,simulations results demonstrate that the proposed RIS-DSM scheme can deliver satisfactory error performance even in low signal-to-noise ratio environments.

Design strategy of intelligent CAD for welding positioner scheme design

Traditional CAD technique does not support the design processes such as function definition, conceptual design and preliminary design, which are most creative and play significant roles on the design quality. Because scheme design has close relationship with product structure, performance and technology cost, it is important for applying the intelligent CAD of scheme design to improve the quality and competitive level of the product. The definition and function of welding positioner are discussed in this paper. The new definition of welding positioner extends the research scope of welding positioner to welding fixture and welding positioning motion mechanism. The design process of welding fixture and positioning motion system is described, and the cased based and knowledge based design strategy of welding positioner scheme design intelligent CAD is then put forward, which lays foundation for developing proto type system of welding positioner scheme design.

Intelligent Transportation System and Night Delivery Schemes for City Logistics

Intelligent Transportation System （ITS） integrates information and communication technologies with location based technologies into roads, vehicles, traffic and transport management systems. Application of ITS can improve situation in major cities where due to the increasing number of residents and level of motorization traffic congestion represents important issue. Another problem arises from this facts and that is that cities have contradictory needs as grooving need for goods within urban areas as well as need for less vehicles in the same area. The urban logistics activities by private companies within urban areas represent an integral part of city logistics that aims to improve the efficiency of urban freight transportation, reduce traffic congestion, mitigate environmental impacts, reduce costs and fuel consumption. This research presents application of ITS technologies and vehicle routing problem for night delivery scheme planning as one of the core techniques for modelling city logistics.

The Study on the Framework and Implementation Scheme of the Railway Intelligent Cold Chain Logistics System

With the development of intelligent and communication technology, traditional logistics has gradually transformed into intelligent logistics. The construction of the railway intelligent cold chain logistics system is an effective measure to implement the structural adjustment of supply, which conforms to the times. Firstly, basic features and design principles of the railway intelligent cold chain logistics system were described. Secondly, target functions and the system framework of the railway intelligent cold chain logistics were put forward, which takes information service as a foundation, management service as a guarantee, business capability as kernel and expansion capability as support. Subsequently, the technical approaches were studied at the hardware, processing and software levels. Finally, development strategies of the railway intelligent cold chain logistics were discussed, including optimizing the layout of infrastructure, improving the performance of equipment, extending the reach of services, deepening the cooperation of technologies and promoting the formulation of standards which provides feasible references for the railway cold chain logistics to explore modern business models.

横风下基于滚动GAPSO算法的列车速度曲线优化

针对普通环境下高速列车目标速度曲线优化算法不适用于横风环境的问题,提出一种横风环境下基于滚动GAPSO(遗传粒子群)算法的列车速度曲线优化方法。首先,考虑横风风速阻力作用改进列车动力学模型,并建立列车运行多目标优化模型;其次,基于GAPSO算法寻优巡航构建列车在起始阶段的最优目标速度曲线,引入滚动优化框架实时调整目标速度曲线,并在横风限速区按照改进快行策略运行;最后,在列车进站前采用GAPSO算法寻优惰行点生成目标速度曲线。仿真实验结果表明:GAPSO算法较GA算法和PSO算法具有搜索能力强、收敛速度快的优点;滚动GAPSO算法能在不同横风环境下实时生成优化后的目标速度曲线,并与改进快行策略和RH-PSO算法相比,具有较优的节能性和准时性。横风下基于滚动GAPSO算法的列车目标速度曲线优化可为横风环境下列车节能、准时运行提供一种可行的解决方案。

RHOMBUS THINKING METHOD AND ITS APPLICATION IN SCHEME DESIGN

Rhombus thinking, a new creative thinking method,is the combination of divergent thinking process and convergent thinking process,in which qualitative analysis is carried out before quantitative analysis This method tries to solve the bottle neck problem in intelligent CAD based on the extension theory The rhombus thinking method to the scheme design of new products is applied In this process, firstly, the matter element expression for the know information are set up, and then a set of matter elements are opened up by matter elements extension method; Finally,the useful information are got by appraisal method of dependent degree It has been successfully applied to the scheme design for the cutter store of machining center Theoretical and experimental results demonstrated fhat the method is much more accurate,objective and efficient than the traditional one

基于BIM技术的高速公路运维管理研究——以兰海高速公路为例

高速公路一直以来是我国基础建设的重要组成部分,其中高速公路的运维管理是运营阶段的基础保障,而基于BIM技术的高速公路运维管理研究,是在我国公路交通行业数字化发展大背景下的新兴技术,是一种高效的项目管理工具。通过分析当前高速公路运维管理阶段的优缺点,结合现有BIM技术的可视化、数字化和模拟化的特点,根据两阶段施工设计图和实地概况,从兰海高速公路临洮至渭源段三维建模应用分析、实现各模块的信息管理、采用BIM技术+智慧图纸的共享应用模式、可视化交通流量动态模拟和深化设计等方面着手研究,进一步优化高速公路全生命周期主线左右幅、附属基础、通道、桥涵、隧道和标志标线的运维管理模式,改善在高速公路运维管理过程中以人工为主的检查、巡视和维护的传统模式,来提高运维管理效率,节约人力物料,也为全国高速公路网的快速发展和运维管理提供参考性的创新和见解。

基于AHP-CRITIC-TOPSIS的智能养老辅助产品设计研究

目的针对目前智能养老辅助产品研究优选过程中,权重计算时主观权重信息占比过大的问题,将主客观权重与逼近理想解的排序方法相结合,运用于产品评价和优选体系,进行科学有效性排序。方法首先,运用德尔菲法、调查问卷等方法,整理出老年人对智能辅助产品的需求,提出设计评价指标;其次,运用层次分析法(AHP)计算出主观权重,运用客观赋权法(CRITIC)计算出客观权重。进一步用公式将主、客观权重进行组合,计算出各指标的组合权重;最后,结合逼近理想解的排序方法(TOPSIS)对设计方案进行优选。以三种老年智能助行器设计方案为例,详解框架及流程。结果实践证明,智能养老辅助产品评价体系准则层中功能需求最重要,在要素层中操作简易、群体互动和多样附属功能是评价智能辅助产品的重要指标。根据指标计算出三种方案相对贴近度,贴近度最高的方案二为最佳方案。结论所分析的产品评价体系、提出的设计策略和方案比选方法可以为智能养老辅助产品设计提供参考。事实证明,综合运用AHP、CRITIC、TOPSIS方法的老年助行器设计方法优选模型更科学,多维数据下结合主客观权重方法得到的综合权重值更加合理,更能证明设计的针对性和有效性。

Real-Time Short-Term Forecasting Based on Information Management

Traffic congestions and road accidents continue to increase in industry countries. There are three basic strategies to relieve congestion. The first strategy is to increase the transportation infrastructure. However, this strategy is very expensive and can only be accomplished in the long-term. The second strategy is to limit the traffic demand or make traveling more expensive that will be strongly opposed by travelers. The third strategy is to focus on efficient and intelligent utilization of the existing transportation infrastructures. This strategy is gaining more and more attention because it’s well. Currently, the Intelligent Transportation System (ITS) is the most promising approach to implementing the third strategy. Various forecast schemes have been proposed to manage the traffic data. Many studies showed that the moving average schemes offered meaningful results compared to different forecast schemes. This paper considered the moving average schemes, namely, simple moving average, weighted moving average, and exponential moving average. Furthermore, the performance analysis of the shortterm forecast schemes will be discussed. Moreover, the real-time forecast model will consider the abnormal condition detection.

Real-Time Road Traffic Anomaly Detection

Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents. Road accidents continue to increase in digital age. There are many reasons for road accidents. This paper will discuss and introduce new algorithm for road accident detection. Various forecast schemes have been proposed to manage the traffic data. In this paper we will introduce road accident detection scheme based on improved exponential moving average. The proposed traffic incident detection algorithm is based on the automatic exponential moving average scheme. The detection algorithm is based on analyzing the collected traffic flow parameters. The detection algorithm is based on analyzing the collected traffic flow parameters. In addition a real-time accident forecast model was developed based on short-term variation of traffic flow characteristics.

基于传输层参数的矿山Mesh网络接入点选择算法研究

针对矿山开采过程网络受损等意外情况发生时的通信网络拥塞,导致视频、语音、指令等信息传输链路容易中断的问题,提出了一种用于矿山应急通信的的无线Mesh网络,从传输层研究网络的接入节点(Access Point,AP)选择算法。首先,以无线Mesh网络的端对端整体回传延时作为优化目标,通过传输层延时情况判断当前的传输链路是否中断或带宽严重下降的紧急情况。其次,引入临近AP广播选择机制(Broadcast Selection Mechanism of Adjacent AP,BSM-AP),使设备通信终端不需要预先关联AP即可计算不同AP的回传信息延时,降低系统测量与算法选择的开销。最后,使用模糊逻辑方法选择接入一个综合性能最优的AP迅速重传信息。通过高通样机平台上植入算法测试井下通信信息的传输成功率,试验结果表明:所提算法可以大幅降低关键救援信息的网络时延,并保证传输的可靠性。

基于FusionModule智能微模块数据中心部署方案研究

随着大数据技术的飞速发展,数据中心机房的规模不断扩大,IT设备数量不断增加,分散型的传统数据中心已无法应对虚拟化、集中化、高密化等服务器发展的趋势,以集装箱式、模块化式为代表的数据中心正逐渐成为当今发展的潮流。以阳城县大数据中心为例,从应用的角度阐述模块化数据中心架构,华为FusionModule智能微模块以及实际部署情况,以期为各地区开展大数据中心建设提供思路。

基于案例推理的法律人工智能建模——以海波案例系统的法律解析为中心

案例推理系统采取符号主义的路径进行法律人工智能建模,运用逻辑学的方法刻画案例推理的过程,但是,传统逻辑工具难以对案例推理过程中的可废止过程进行刻画和表达。运用论证理论中的论证型式工具,对经典案例推理系统海波的工作原理进行解析,可重构案例推理系统的逻辑模型,明确案例推理系统的智能界限。基于案例推理系统逻辑模型的解析,反思当下司法实践中的类案系统,可证立人工智能辅助司法的基本原则。

建筑智能化系统顶层设计方法探讨

通过自上而下地展开,吸收质量功能配置的思想,对建设过程中影响智能化系统的因素进行统筹考量。通过逐层迭代的方式,直观展示不同技术方案对业主满意度的影响,为建筑设计提供可比较的方案效益评价,也为设计明确后续技术路径。

山东滨州市三大引黄灌区数字孪生灌区建设与技术应用

山东滨州市簸箕李、小开河和韩墩3个大型灌区是水利部大型灌区数字孪生灌区先行先试建设试点之一。本文系统介绍了滨州市3个大型灌区数字孪生灌区设计构架与建设及研究内容,包括数字孪生灌区建设顶层设计,数据底板、立体感知体系、闸门自动化控制、模型开发应用、支撑保障体系建设和业务应用平台。滨州市3大灌区数字孪生建设是在灌区已经开展的信息化建设基础上开展的,已经投入4280多万元,数字孪生灌区大部分建设内容已经完成并投入使用,取得了良好应用成效,助力了灌区水资源的精细化管理,灌区用水计划制定时间较用传统方法缩短60%以上,实现了精准调水配水,年可节水6%;闸门自动化控制应用节省管理用工40%以上。随着三大引黄灌区数字孪生灌区建设的进展和应用技术的不断提升完善与优化迭代,将进一步提升灌区用水管理的数字化、智能化和精准化水平,服务于灌区的可持续发展和高质量发展。

建筑智能化方案精准设计方法探索

以智能建筑的顶层设计为基础,在比较不同智能化系统优劣的基础上,提出基于约束条件的智能化设计方案的整体比较方法,为业主智能化设计的投资优化方案提供指导。同时,构建MATLAB模型以简化计算过程,实现设计方案的便捷比较和直观展示,助力精准控制方法在实际应用中的优化。

浅析对智能的误解与新智能的建构

目前,GPT、Sora很多人使用后仍深感其不足和欠缺,究其因,智能终究是一个多因、多果、多维、多元的世界,这意味着智能的发展和应用涉及多个因素、产生多种结果、涉及多个领域和维度,并不是一个管理、一个数理、一个心理、一个生理、一个哲理、一组统计公式、一堆数学方程就能搞定的。若从人机环境系统智能的角度出发会不难发现:智能的形成和进化是由人、机器、环境等多种因素相互作用和影响的结果,这些因素包括技术进步、理论研究、数据积累、算法优化、社会需求等,智能技术的发展需要这些因素相互配合和促进。还有,智能涉及多个维度和层面,智能技术的发展不仅仅限于大规模数据处理和模式识别,还包括推理、学习、决策、创造等多个层面,智能的发展需要综合考虑这些维度和层面,使智能系统能够更好地适应和应对各种复杂任务和环境。

一种多终端视频流智能识别模型共进演化方法研究

在泛在的智能物联网终端部署深度模型并提供智能应用/服务受到越来越多关注.但是,受限于终端硬件资源,研究人员从模型轻量化技术入手,为深度模型的轻量化、高精度部署提供技术支撑.然而基于轻量化深度模型的视频应用会面临实际场景中的数据漂移问题,导致推理精度急剧下降,并且该问题在移动场景中尤为显著.边缘辅助的模型在线演化是解决数据漂移问题的一种有效方式,可实现自演化的可成长的智能计算系统.然而,模型演化速度会影响终端模型高精度服务时间占比,从而影响模型全生命周期推理性能.为了提升多终端协同的模型演化精度和速度,本文提出基于软硬一体理念的多终端视频流智能识别模型共进演化方法和系统.一方面,本文提出了新颖的多终端互学习共进演化方法,借助终端新场景数据,克服模型数据异构挑战,实现多终端模型和全局模型的高增益协同演化和共进学习;另一方面,结合互学习算法特点,提出基于存内计算的训练加速方法,利用自适应数据压缩和模型训练优化提升系统性能,在保证演化精度增益的同时加速多个终端模型的演化速度.最后,通过不同真实移动场景下的轻量化模型持续演化任务实验验证,并对比六种基准方法证明NestEvo可以有效减少51.98%演化延迟,并提升42.6%终端轻量化模型平均推理精度.

城市轨道交通智能调度技术及应用研究

随着我国城市轨道交通网络化建设进程的不断推进,面向网络化安全、高效运营的智能调度系统成为建设智慧城轨的关键之一。针对城市轨道交通的实际需求提出了智能调度系统整体方案,分析了系统中的三大关键技术:运行图自动编制、调整策略智能生成和辅助决策。重点阐述了智能调度系统方案中基于客流评估的全自动编图、实时客流感知和调度决策以及故障运维联动与应急预案联动这三大功能,以提高城市轨道交通行车调度的自动化、智能化水平,提升应急处置效率和乘客出行的便捷性。最后,以实际某地铁集团智能调度现场运用为例,分析了智能调度方案在城市轨道交通运营过程中的作用。

新型智算中心组网方案研究

当前算力需求爆发式增长,通用计算也朝着人工智能计算的方向演进,新型智算中心网络作为算力间数据交互的中心,成为影响算力性能发挥的关键。分析了智算中心对网络的需求,对网络协议、架构和运维管理等方面进行了深入研究,并结合业界发展情况,给出了智算中心组网方案的建议。