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An Improved Space-Time Joint Anti-jamming Algorithm Based on Variable Step LMS

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Tsinghua Science and Technology 2017年第5期22卷 520-528页

作者： Dengao Li Jinqiang Liu jumin zhao Gang Wu Xiaofang zhao College of Information Engineering Taiyuan University of Technology

In wireless communication, the space-time anti-jamming method is widely applied because it shows better performance than the pure airspace and pure temporal anti-jamming methods. However, its application is limited by its computational complexity, and it cannot suppress narrowband interference that is in the same direction as the navigation signal. To solve these problems, we propose improved frequency filter to filter the narrowband interference from the desired signal direction in advance, meanwhile, an improved variable step Least Mean Square （LMS） method is proposed to complete the space-time array weights with fast iteration, thereby reducing computational complexity. The simulation results show that, compared with conventional methods, the anti-jamming capability of the proposed algorithm is significantly enhanced; and its complexity is significantly reduced.

关键词： Space-Time Adaptive Processing (STAP) Least Mean Square (LMS) computational complexity frequency domain filter

IQABC-Based Hybrid Deployment Algorithm for Mobile Robotic Agents Providing Network Coverage

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Tsinghua Science and Technology 2024年第2期29卷 589-604页

作者： Shuang Xu Xiaojie Liu Dengao Li jumin zhao College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyTaiyuan 030024China Pengcheng Laboratory Shenzhen 518055China College of Information and Computer Taiyuan University of TechnologyTaiyuan 030024China

Working as aerial base stations,mobile robotic agents can be formed as a wireless robotic network to provide network services for on-ground mobile devices in a target ***,a challenging issue is how to deploy these mobile robotic agents to provide network services with good quality for more users,while considering the mobility of on-ground *** this paper,to solve this issue,we decouple the coverage problem into the vertical dimension and the horizontal dimension without any loss of optimization and introduce the network coverage model with maximum coverage ***,we propose a hybrid deployment algorithm based on the improved quick artificial bee *** algorithm is composed of a centralized deployment algorithm and a distributed *** proposed deployment algorithm deploy a given number of mobile robotic agents to provide network services for the on-ground devices that are independent and identically *** results have demonstrated that the proposed algorithm deploys agents appropriately to cover more ground area and provide better coverage uniformity.

关键词： wireless robotic networks network coverage deployment algorithm improved quick artificial bee colony

Intra-Patient and Inter-Patient Multi-Classification of Severe Cardiovascular Diseases Based on CResFormer

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Tsinghua Science and Technology 2023年第2期28卷 386-404页

作者： Dengao Li Changcheng Shi jumin zhao Yi Liu Chunxia Li College of Data Science Taiyuan University of TechnologyJinzhong 030600China College of Information and Computer Taiyuan University of TechnologyJinzhong 030600China Shanxi Bethune Hospital Taiyuan 030032China

Severe cardiovascular diseases can rapidly lead to *** present,most studies in the deep learning field using electrocardiogram(ECG)are performed on intra-patient experiments for the classification of coronary artery disease(CAD),myocardial infarction,and congestive heart failure(CHF).By contrast,actual conditions are inter-patient *** this study,we proposed a deep learning network,namely,CResFormer,with dual feature extraction to improve accuracy in classifying such ***,fixed segmentation of dual-lead ECG signals without preprocessing was used as input ***,one-dimensional convolutional layers performed moderate dimensionality reduction to accommodate subsequent feature ***,ResNet residual network block layers and transformer encoder layers sequentially performed feature extraction to obtain key associated abstract ***,the Softmax function was used for ***,the focal loss function is used when dealing with unbalanced *** average accuracy,sensitivity,positive predictive value,and specificity of four classifications of severe cardiovascular diseases are 99.84%,99.68%,99.71%,and 99.90%in intra-patient experiments,respectively,and 97.48%,93.54%,96.30%,and 97.89%in inter-patient experiments,*** addition,the model performs well in unbalanced datasets and shows good noise ***,the model has great application potential in diagnosing CAD,MI,and CHF in the actual clinical environment.

关键词： dual-lead ECG signals coronary artery disease myocardial infarction congestive heart failure interpatient experiments intra-patient experiments CResFormer

KTI-RNN:Recognition of Heart Failure from Clinical Notes

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Tsinghua Science and Technology 2023年第1期28卷 117-130页

作者： Dengao Li Huiting Ma Wenjing Li Baofeng zhao jumin zhao Yi Liu Jian Fu College of Data Science Taiyuan University of TechnologyJinzhong 030600China Department of Statistics and Applied Probability University of CaliforniaSanta BarbaraCA 93106USA College of Mining Engineering Taiyuan University of TechnologyTaiyuan 030024China College of Information and Computer Taiyuan University of TechnologyJinzhong 030600China

Although deep learning methods have recently attracted considerable attention in the medical field,analyzing large-scale electronic health record data is still a difficult *** particular,the accurate recognition of heart failure is a key technology for doctors to make reasonable treatment *** study uses data from the Medical Information Mart for Intensive Care *** with structured data,unstructured data contain abundant patient ***,this type of data has unsatisfactory characteristics,e.g.,many colloquial vocabularies and sparse *** solve these problems,we propose the KTI-RNN model for unstructured data *** proposed model overcomes sparse content and obtains good classification *** term frequency-inverse word frequency(TF-IWF)model is used to extract the keyword *** latent dirichlet allocation(LDA)model is adopted to extract the topic word *** models enable the expansion of the medical record text ***,we embed the global attention mechanism and gating mechanism between the bidirectional recurrent neural network(BiRNN)model and the output *** call it gated-attention-BiRNN(GA-BiRNN)and use it to identify heart failure from extensive medical *** show that the F 1 score of the proposed KTI-RNN model is 85.57%,and the accuracy rate of the proposed KTI-RNN model is 85.59%.

关键词： heart failure diagnosis text classification deep learning

RNN-Based Demand Awareness in Smart Library Using CRFID

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China Communications 2020年第5期17卷 284-294页

作者： Ruiqin Bai jumin zhao Dengao Li Xiaoyu Lv Qiang Wang Biaokai Zhu College of Information and Computer Taiyuan University of TechnologyJinzhong 030600China College of Data Science Taiyuan University of TechnologyJinzhong 030600China Technology Research Center of Spatial Information Network Engineering of Shanxi Jinzhong 030600China

To provide more intelligence service in the smart library, we need to better perceive the reader’s preferences. In addition to perceiving online records based on readers’ search history and borrowing records, advanced information technologies give us more chance to perceive the behavior of readers in the actual reading process and further discover the need for reading. In this paper, we use CRFID and RNN deep learning network to recognize book motions in the reading process, so as to judge readers’ need degree for the book, which can provide a basis for library book purchases and readers personalized service. In order to improve the recognition accuracy, we use the RSS as well as acceleration magnitude gathered from CRFID as the input data for RNN, and design a new encoding scheme. We trained and tested the deep learning network using real-world data, recorded during actual reading in our lab environment which mimics a typical reading room, from the experimental results, we conclude that our approach is feasible to recognize different reading phase to perceiving the needs of the readers.

关键词： demand awareness detection of phases CRFID RNN smart library

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正义理论视角下的医疗损害赔偿责任重构研究

医学与社会 2023年第8期36卷 104-109页

作者：赵菊敏河南农业大学文法学院河南郑州450002

医疗损害赔偿责任构成必须突破责任构成上的“过错中心论”和损害救济上的“赔偿论”的思维框架,基于正义理论,通过对医患关系性质、医疗损害特征及医疗体制目标的全面考量,在正义理论视角下重构医疗损害赔偿责任中医患利益关系的理念基... 详细信息

医疗损害赔偿责任构成必须突破责任构成上的“过错中心论”和损害救济上的“赔偿论”的思维框架,基于正义理论,通过对医患关系性质、医疗损害特征及医疗体制目标的全面考量,在正义理论视角下重构医疗损害赔偿责任中医患利益关系的理念基础,实现医疗损害赔偿责任分配中医患权益及社会公共利益的多元有效平衡。正义理论的探讨将对“医疗过错认定”的技术性操作转向对“医患利益”的实质性关注,为现行医疗损害赔偿责任规定的有效实施提供有益的指导,从而有利于缓解医患矛盾,推动和谐医患关系的构建。

关键词：医疗损害赔偿正义理论医疗过错

An EMD-based Fast Algorithm for INS Aided BDS Ambiguity Resolution

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An EMD-based Fast Algorithm for INS Aided BDS Ambiguity Reso...

基于BDS/GPS的KBLMS信道补偿多径缓减算法

第九届中国卫星导航学术年会

作者： Junbing Cheng Dengao Li Wenjing Li jumin zhao College of Information Engineering Taiyuan University of Technology

Beidou satellite navigation system(BDS) signal is blocked during dynamic positioning which can lead to poor geometry structure of visible satellites and serious multipath *** this contribution,the advantages of inertial navigation system(INS),autonomy and short-term accuracy,are used to speed up the BDS ambiguity resolution(AR).However,the accuracy of general INS cannot meet the fixed BDS original carrier ambiguity *** can broadcast three frequency observations,so the virtual observations of long wavelength and short wavelength are formed by linear combination,which make the INS precision meet the fixed ambiguity requirement and achieve high precision positioning,*** short wavelength observations ambiguity due to the relatively large noise is difficult to reliably *** solve this problem,Empirical mode decomposition(EMD) can be used to decompose the error of the short wavelength observations into two parts:systematic error and random *** error is used to correct the short wavelength ambiguity float solution and reduce the ambiguity search space,to achieve a reliable fixed purpose,finally solving the baseline *** experimental results show that the algorithm is more fast and reliable than the traditional algorithms,and more suitable for dynamic positioning in the complex environment.

关键词： BDS Triple-frequency INS EMD

来源： cnki会议评论

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北京航空航天大学学报 2021年第1期47卷 169-176页

作者：王晓毓李灯熬赵菊敏太原理工大学信息与计算机学院太原030024 山西省空间信息网络工程技术研究中心太原030024 太原理工大学大数据学院太原030024

在全球卫星导航系统(GNSS)中,针对城市峡谷单系统无法定位及信号失锁后重新捕获及跟踪性能表现不佳的问题,提出了一种基于BDS/GPS的卡尔曼最小均方估计(KBLMS)的信道补偿技术。首先,建立双系统模型。其次,设计基于卡尔曼估计的最小均方... 详细信息

在全球卫星导航系统(GNSS)中,针对城市峡谷单系统无法定位及信号失锁后重新捕获及跟踪性能表现不佳的问题,提出了一种基于BDS/GPS的卡尔曼最小均方估计(KBLMS)的信道补偿技术。首先,建立双系统模型。其次,设计基于卡尔曼估计的最小均方误差的延迟估计模块,补偿接收信号上的多径失真。最后,设计视距(LOS)最佳估计块以在反馈回路中产生控制误差信号,用于自适应地更新补偿矩阵系数。通过实测数据与实验仿真,分析KBLMS的信道补偿多径缓减算法的性能。结果表明:KBLMS的信道补偿多径缓减技术相较于最小均方(LMS)算法在多径信道中能快速收敛,且码跟踪误差在ENU三个维度误差减少了0.1 chip,载波跟踪误差减少了约0.125 cm,有效降低了多径效应引起的误差,最终残余误差比LMS降低了0.035 chip,说明所提多径缓减算法可以进行更为精准的估计,从而验证了算法的有效性。

关键词：全球卫星导航系统(GNSS) 多径缓解卡尔曼最小均方估计(KBLMS) 多径时延视距(LOS)估计

BDS Cycle Slips Detection and Repair Based on Compressive Sensing

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BDS Cycle Slips Detection and Repair Based on Compressive Se...