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基于铁路带状北斗CORS的网络RTK测量精度分析

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铁道标准设计 2024年第2期68卷 74-79页

作者：王建红中铁第一勘察设计院集团有限公司西安710043

为研究和拓展北斗导航系统在铁路工程测量中的应用,利用BDS系统技术优势解决山区铁路测量定位难题。基于某山区铁路建立带状北斗连续运行参考站系统(以下简称“北斗CORS系统”)和高精度位置服务云平台。采用国产多星多频测量型接收机进... 详细信息

为研究和拓展北斗导航系统在铁路工程测量中的应用,利用BDS系统技术优势解决山区铁路测量定位难题。基于某山区铁路建立带状北斗连续运行参考站系统(以下简称“北斗CORS系统”)和高精度位置服务云平台。采用国产多星多频测量型接收机进行控制点数据采集工作,分别对比基于北斗CORS系统的单BDS、单GPS以及GNSS混合星历网络RTK观测数据以及传统基站形式的RTK观测数据的测量精度。结果表明:(1)铁路带状北斗高精度位置服务云平台网络RTK定位功能稳定可靠;(2)基于北斗CORS系统的网络RTK测量方法仅需进行高程曲面拟合,按3s采集的成果精度即可满足铁路测量规范中网络RTK中线测量、断面测量、施工放样、像控测量的精度要求,测量时应尽量采用同类型的设备并采用同精度观测方法以保证重复测量精度,也可通过增加观测时长、在局部区域利用既有高程控制点做高程校正的方式提高测量精度;(3)基于北斗CORS系统的网络RTK测量平面和高程内符合精度限差可分别设定为1.7 cm和2 cm,外符合精度可分别设定为2.2 cm和5 cm。

关键词：北斗导航系统连续运行参考站铁路工程线路测量网络RTK 精度分析

Finite Sample Properties of Virtual Reference Feedback Tuning Control

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Journal of Systems Science & Complexity 2018年第3期31卷 664-676页

作者： wang jianhong Dipartimento di Elettronica Informazione Politecnico di Milano

In this paper, finite sample properties of virtual reference feedback tuning control are considered, by using the theory of finite sample properties from system identification. To design a controller in closed loop system structure, the idea of virtual reference feedback tuning is proposed to avoid the identification process corresponding to the plant model. After constructing one identification cost without any knowledge of plant model, the author derives one bound on the difference between the expected identification cost and its sample identification cost under the condition that the number of data points is finite. Also the correlation between the plant input and external noise is considered in the derivation of this bound. Furthermore, the author continues to derive one probability bound to quantify this difference by using some probability inequalities and control theory.

关键词： Asymptotic theory finite sample properties, virtual reference feedback control.

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面向井下车辆的UWB定位系统研究

现代工业经济和信息化 2024年第3期14卷 60-62页

作者：王建宏山西能源学院山西太原030000

为了提高井下车辆定位精度与稳定性,提出了一种面向井下车辆的UWB定位系统.在给出了算法设计的基础上,对算法进行了优化,设计了 UWB定位精度参数分析.实验中,对车辆定位进行了分析,同时,还对影响车辆定位的因素进行了分析.实验结果表明... 详细信息

为了提高井下车辆定位精度与稳定性,提出了一种面向井下车辆的UWB定位系统.在给出了算法设计的基础上,对算法进行了优化,设计了 UWB定位精度参数分析.实验中,对车辆定位进行了分析,同时,还对影响车辆定位的因素进行了分析.实验结果表明,优化后的算法定位精度更准确.

关键词： UWB 井下车辆影响因子

A data driven approach for detection and isolation of anomalies in a group of UAVs

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Chinese Journal of Aeronautics 2015年第1期28卷 206-213页

作者： wang Yin wang Daobo wang jianhong College of Astronautics Nanjing University of Aeronautics and Astronautics College of Automation Nanjing University of Aeronautics and Astronautics The 28th Research Institute of China Electronics Technology Group Corporation

The use of groups of unmanned aerial vehicles（UAVs） has greatly expanded UAV＇s capabilities in a variety of applications, such as surveillance, searching and mapping. As the UAVs are operated as a team, it is important to detect and isolate the occurrence of anomalous aircraft in order to avoid collisions and other risks that would affect the safety of the team. In this paper, we present a data-driven approach to detect and isolate abnormal aircraft within a team of formatted flying aerial vehicles, which removes the requirements for the prior knowledge of the underlying dynamic model in conventional model-based fault detection algorithms. Based on the assumption that normal behaviored UAVs should share similar（dynamic） model parameters, we propose to firstly identify the model parameters for each aircraft of the team based on a sequence of input and output data pairs, and this is achieved by a novel sparse optimization technique. The fault states of the UAVs would be detected and isolated in the second step by identifying the change of model *** results have demonstrated the efficiency and flexibility of the proposed approach.

关键词： sparse aircraft surveillance searching identifying prior isolation assumption flexibility aerial

Zonotope parameter identification for piecewise affine systems

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Journal of Systems Engineering and Electronics 2020年第5期31卷 1077-1084页

作者： wang jianhong School of Engineering and Sciences Tecnologico de MonterreyMonterrey 64849Mexico

The problem of how to identify the piecewise affine system is studied in this paper, where this considered piecewise affine system is a special nonlinear system. The reason why it is not easy to identify this piecewise affine system is that each separated region and each unknown parameter vector are all needed to be determined simultaneously. Then, firstly, in order to achieve the identification goal, a multi-class classification process is proposed to determine each separated region. As the proposed multi-class classification process is the same with the classical data clustering strategy, the multi-class classification process can combine the first order algorithm of convex optimization, while achieving the goal of the classification process. Secondly, a zonotope parameter identification algorithm is used to construct a set, which contains the unknown parameter vector. In this zonotope parameter identification algorithm, the strict probabilistic description about the external noise is relaxed, and each unknown parameter vector is also identified. Furthermore, this constructed set is consistent with the measured output and the given bound corresponding to the noise. Thirdly, a sufficient condition about guaranteeing our derived zonotope not growing unbounded with iterations is formulated as an explicit linear matrix inequality. Finally, the effectiveness of this zonotope parameter identification algorithm is proven through a simulation example.

关键词： piecewise affine system zonotope parameter identification linear matrix inequality

A three-way incremental-learning algorithm for radar emitter identification

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Frontiers of Computer Science 2016年第4期10卷 673-688页

作者： Xin XU Wei wang jianhong wang Science and Technology on Information System Engineering Laboratory Nanjing Research Institute of Electronic Engineering (NRIEE) Nanjing 210007 China State Key Laboratory for Novel Software and Technology Nanjing University Nanjing 210093 China

Radar emitter identification has been recognized as an indispensable task for electronic intelligence system. With the increasingly accumulated radar emitter intelligence and information, one key issue is to rebuild the radar emitter classifier efficiently with the newly-arrived information. Although existing incremental learning algorithms are superior in saving significant computational cost by incremental learning on continuously increasing training samples, they are not adaptable enough yet when emitter types , features and sampies are increasing dramatically. For instance, the intra-pulse characters of emitter signals could be fitrther extracted and thus expand the feature dimension. The; same goes for the radar emitter type dimension when samples from new radar emitter types are gathered. In addition, existing incremental classifiers are still problematic in terms of computational cost, sensitivity to data input order, and difficulty in multiemitter type identification. To address the above problems, we bring forward a three-way incremental learning algorithm （TILA） for radar emitter identification which is adaptable for the increase in emitter features, types and. samples.

关键词： radar emitter identification incremental learning classification data mining

Flash Nano Precipitation to Prepare Inorganic Nanoparticles

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材料导报 2019年第3期33卷 373-374页

作者： wang jianhong LIU Rui Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education School of Materials Science and Engineeringand Institute for Advanced StudyTongji University

A rapidprecipitation technique,confined mixing induced nano-precipitation is a novel,one-step method for producing nanoparti-cles(NPs)with adjustable size,high specific surface area,sta-ble morphological structure and excellent surface and *** is also called flash nano precipitation(FNP)asits mixing time is on the millisecond scale.A typical FNP processstarts withrapidly mixing a good solvent stream dissolving am-phiphilic copolymer and an anti-solvent stream of the copolymerin the space-confined and tiny *** self-assembly andstability of the organic nanoparticles are achieved via rapid super-saturation and precipitation.

关键词： A rapidprecipitation technique confined mixing

嬗变视角下的“娱乐劳动”:剥削跃迁、辩证实质和延异进路

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甘肃理论学刊 2024年第4期 73-82页

作者：朱明王建红华北电力大学马克思主义学院河北保定071003 华北电力大学大数据与哲学社会科学实验室河北保定071003

“娱乐劳动”作为数字平台中无偿的数字劳动,意指用户的数字化娱乐过程,在实质上具有劳动属性,其通过多种形式生成数据,并最终为平台方创造价值。相较于其余诸种有偿数字劳动,二者之间的差异既有产生社会条件的演进,也有背后剥削方式的... 详细信息

“娱乐劳动”作为数字平台中无偿的数字劳动,意指用户的数字化娱乐过程,在实质上具有劳动属性,其通过多种形式生成数据,并最终为平台方创造价值。相较于其余诸种有偿数字劳动,二者之间的差异既有产生社会条件的演进,也有背后剥削方式的嬗变。“娱乐劳动”下大众的生活方式从物的占有转为非物的体验,原本的“奴役式”剥削也开始向“自由式”剥削延展变革。但实质上,“娱乐劳动”和历史上资本的诸种调整无异,都是资本面对劳动者的抵抗和越发无力的旧剥削方式,为延长自身发展所做出的无奈之变,其背后已经预示了一种剥削“奇点”的来临:资本主义自身的痼疾和劳资双方的斗争正逐步将劳动者引向自由全面发展的临界状态。

关键词：娱乐劳动数字劳动剥削资本奇点

前庭功能联合听力学检查在眩晕疾病中的应用研究

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中国全科医学 2024年第35期27卷 4435-4438,4445页

作者：胡珍刘梅龚丽梅王建洪四川省宜宾市第一人民医院耳鼻咽喉头颈外科 644000

背景前庭功能检查项目种类众多,各检查项目靶点及阳性率各有不同,临床上眩晕患者如何恰当合理选择检查项目有不同观点。目的探讨前庭功能联合听力学检查在外周眩晕疾病中的应用价值,为临床眩晕疾病的诊断及鉴别诊断提供参考依据。方法选... 详细信息

背景前庭功能检查项目种类众多,各检查项目靶点及阳性率各有不同,临床上眩晕患者如何恰当合理选择检查项目有不同观点。目的探讨前庭功能联合听力学检查在外周眩晕疾病中的应用价值,为临床眩晕疾病的诊断及鉴别诊断提供参考依据。方法选择2021年1月—2022年1月以头晕或眩晕为主诉就诊于宜宾市第一人民医院眩晕门诊的患者。所有患者在起病7d内完成纯音测听(PTA)、温度试验、视频头脉冲试验(vHIT)、摇头试验(HST),比较不同眩晕疾病的前庭功能及听力学检查的异常率。结果符合纳入、排除标准且病例资料完整的眩晕患者共120例,其中突发性聋伴眩晕(SDV)组、良性阵发性位置性眩晕(BPPV)组、前庭性偏头痛(VM)组各40例。SDV组患者PTA均为感音神经性聋,温度试验异常25例(62.50%),vHIT异常16例(40.00%),HST异常28例(70.00%)。BPPV组患者PTA异常9例(22.50%),其中7耳为感音神经性聋,2耳为传导性聋;温度试验异常18例(45.00%),vHIT异常21例(52.50%),HST异常20例(50.00%)。VM组患者PTA异常21例(52.50%),均为感音神经性聋,其中26耳为高频听力轻中度下降,7耳为低频轻中度下降,温度试验异常16例(40.00%),vHIT异常17例(42.50%),HST异常27例(67.50%)。三组患者PTA检查异常率比较,差异有统计学意义(χ^(2)=50.26,P0.05)。结论前庭功能联合听力学检查有助于周围性眩晕的定位诊断及鉴别诊断。

关键词：眩晕前庭功能检查听力学检查鉴别诊断

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