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Modeling and Mining the Temporal Patterns of Service in Cellular Network

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China Communications 2015年第9期12卷 11-21页

作者： Sun Weijian qin xiaowei Wei Guo Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences School of Information Science and TechnologyUniversity of Science and Technology of China

Recent emergence of diverse services have led to explosive traffic growth in cellular data networks. Understanding the service dynamics in large cellular networks is important for network design, trouble shooting, quality of service(Qo E) support, and resource allocation. In this paper, we present our study to reveal the distributions and temporal patterns of different services in cellular data network from two different perspectives, namely service request times and service duration. Our study is based on big traffic data, which is parsed to readable records by our Hadoop-based packet parsing platform, captured over a week-long period from a tier-1 mobile operator's network in China. We propose a Zipf's ranked model to characterize the distributions of traffic volume, packet, request times and duration of cellular services. Two-stage method(Self-Organizing Map combined with kmeans) is first used to cluster time series of service into four request patterns and three duration patterns. These seven patterns are combined together to better understand the fine-grained temporal patterns of service in cellular network. Results of our distribution models and temporal patterns present cellular network operators with a better understanding of the request and duration characteristics of service, which of great importance in network design, service generation and resource allocation.

关键词： big data cellular network data mining hadoop SOM cluster service

Anomalous Cell Detection with Kernel Density-Based Local Outlier Factor

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China Communications 2015年第9期12卷 64-75页

作者： Miao Dandan qin xiaowei Wang Weidong Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences School of Information Science and TechnologyUniversity of Science and Technology of China

Since data services are penetrating into our daily life rapidly, the mobile network becomes more complicated, and the amount of data transmission is more and more increasing. In this case, the traditional statistical methods for anomalous cell detection cannot adapt to the evolution of networks, and data mining becomes the mainstream. In this paper, we propose a novel kernel density-based local outlier factor(KLOF) to assign a degree of being an outlier to each object. Firstly, the notion of KLOF is introduced, which captures exactly the relative degree of isolation. Then, by analyzing its properties, including the tightness of upper and lower bounds, sensitivity of density perturbation, we find that KLOF is much greater than 1 for outliers. Lastly, KLOFis applied on a real-world dataset to detect anomalous cells with abnormal key performance indicators(KPIs) to verify its reliability. The experiment shows that KLOF can find outliers efficiently. It can be a guideline for the operators to perform faster and more efficient trouble shooting.

关键词： data mining key performance indicators kernel density-based local outlier factor density perturbation anomalous cell detection

Sample-Efficient Deep Reinforcement Learning with Directed Associative Graph

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China Communications 2021年第6期18卷 100-113页

作者： Dujia Yang xiaowei qin Xiaodong Xu Chensheng Li Guo Wei University of Science and Technology of China Hefei 230026China CAS Key Laboratory of Wireless-Optical Communications Hefei 230027China

Reinforcement learning can be modeled as markov decision process *** consequence,the interaction samples as well as the connection relation between them are two main types of information for ***,most of recent works on deep reinforcement learning treat samples independently either in their own episode or between *** this paper,in order to utilize more sample information,we propose another learning system based on directed associative graph(DAG).The DAG is built on all trajectories in real time,which includes the whole connection relation of all samples among all *** planning with directed edges on DAG,we offer another perspective to estimate stateaction pair,especially for the unknowns to deep neural network(DNN)as well as episodic memory(EM).Mixed loss function is generated by the three learning systems(DNN,EM and DAG)to improve the efficiency of the parameter update in the proposed *** show that our algorithm is significantly better than the state-of-the-art algorithm in performance and sample efficiency on testing ***,the convergence of our algorithm is proved in the appendix and its long-term performance as well as the effects of DAG are verified.

关键词： directed associative graph sample efficiency deep reinforcement learning

SQoE KQIs Anomaly Detection in Cellular Networks: Fast Online Detection Framework with Hourglass Clustering

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China Communications 2018年第10期15卷 25-37页

作者： xiaowei qin Shuang Tang Xiaohui Chen DANDan Miao Guo Wei Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences School of Information Science and TechnologyUniversity of Science and Technology of China

The explosive growth of data volume in mobile networks makes fast online diagnose a pressing search problem. In this paper, an object-oriented detection framework with a two-step clustering, named as Hourglass Clustering, is given. Where three object parameters are chosen as Synthetical Quality of Experience（SQo E） Key Quality Indicators（KQIs） to reflect accessibility, integrality, and maintainability of networks. Then, we choose represented Key Performance Indicators（r KPIs） as cause parameters with correlation analysis. For these two kinds of parameters, a hybrid algorithm combining the self-organizing map（SOM） and

关键词： big data SQoE anomaly detection hourglass clustering codebook.

Effect of competition on spatial patterns of oak forests on the Chinese Loess Plateau

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Journal of Arid Land 2017年第1期9卷 122-131页

作者： KANG Di DENG Jian qin xiaowei HAO Fei GUO Shujuan HAN Xinhui YANG Gaihe College of Forestry Northwest A&F University Yangling 712100 China The Research Center of Recycle Agricultural Engineering and Technology of Shaanxi Province Yangling 712100 China College of Agronomy Northwest A&F University Yangling 712100 China Spice and Beverage Institute Research Chinese Academy of Tropical Agricultural Sciences Wanning 730070 China Yunnan Baiyao Group CO. LTD Kunming 650500 China

Reforestation or natural forest regeneration is an alternative measure for controlling soil erosion in degraded land on the Chinese Loess Plateau（CLP）. However, our understanding of the temporal dynamics and the spatial patterns of forest regeneration remains inadequate. Two oak forests at different development stages were investigated to determine the spatial patterns of competitions（intraspecies and interspecies） during different successional stages. The intraspecies and interspecies spatial relationships among different tree diameters at breast height were analyzed at multiple scales by Kriging interpolation method and univariate and bivariate O-ring statistics. Our analytical results indicated that self-correlation and competition intensity were relatively high between oak and pine trees in the early development stage of oak forests due to their clumped distributions of heavy seeds. Birch trees had a lower competition in comparison to oak trees although birch was the dominant species. Therefore, asymmetric competition of oak trees was most likely to have led to their edge dispersal and their success in replacing the pioneer species. Asymmetric competition means that larger individuals obtained a disproportionately large share of the resources and suppressed the growth of smaller individuals. Kriging interpolation analysis showed a tendency towards homogenization caused by interspecies competition during the succession of oak forests. Our results demonstrated that the competition was the driving factor in the spatial distribution of oak forests on the CLP.

关键词： arid and semi-arid region forest regeneration competition spatial pattern oak forests

Multi Multi-Task Learning with Dynamic Splitting for Open Open-Set Wireless Signal Recognition

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ZTE Communications 2022年第S1期20卷 44-55页

作者： XU Yujie ZHAO qingchen XU Xiaodong qin xiaowei CHEN Jianqiang University of Science and Technology of China Hefei 230026China ZTE Corporation Shenzhen 518057China

Open-set recognition(OSR)is a realistic problem in wireless signal recogni-tion,which means that during the inference phase there may appear unknown classes not seen in the training *** method of intra-class splitting(ICS)that splits samples of known classes to imitate unknown classes has achieved great ***,this approach relies too much on the predefined splitting ratio and may face huge performance degradation in new *** this paper,we train a multi-task learning(MTL)net-work based on the characteristics of wireless signals to improve the performance in new ***,we provide a dynamic method to decide the splitting ratio per class to get more precise outer *** be specific,we make perturbations to the sample from the center of one class toward its adversarial direction and the change point of confidence scores during this process is used as the splitting *** conduct several experi-ments on one wireless signal dataset collected at 2.4 GHz ISM band by LimeSDR and one open modulation recognition dataset,and the analytical results demonstrate the effective-ness of the proposed method.

关键词： open-set recognition dynamic method adversarial direction multi-task learn-ing wireless signal

A Low-Cost Outdoor Fingerprinting Localization Scheme For Wireless Cellular Networks

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ZTE Communications 2019年第3期17卷 42-49页

作者： PEI Dengke XU Xiaodong qin xiaowei LIU Dongliang ZHAO Chunhua Department of Electronic Engineering and Information Science University of Science and Technology of China

This paper considers outdoor fingerprinting localization in LTE cellular Networks,which can localize non-cooperative user equipment(UE)that is unwilling to provide Global Positioning System(GPS)*** propose a low-cost fingerprinting localization scheme that can improve the localization accuracy while reducing the computational ***,a data filtering strategy is employed to filter the fingerprints which are far from the target UE by using the Cell-ID,Timing Advance(TA)and eNodeB environment information,and the distribution of TA difference is analyzed to guide how to use TA rationally in the filtering ***,improved Weighted K Nearest Neighbors(WKNN)are implemented on the filtered fingerprints to give the final location prediction,and the WKNN is improved by removing the fingerprints that are still far away from the most of the K *** results show that the performance is improved by the proposed localization scheme,and positioning errors corresponding to Cumulative Distribution Function(CDF)equaling to 67% and 95% are declined to 50 m and 150 m.

关键词： fingerprinting localization TA filtering strategy improved WKNN

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生存价值论视域中的文学本质言说

当代文坛 2010年第3期 27-30页

作者：秦晓伟中国人民大学文学院

在反本质主义语境中,生存论与价值论的关联是文学本质探讨的逻辑起点。当下文学本质的言说呈现两种思路,一种是整体主义的,将文学的本质视做一个有机整体,对其多重性、多层次性进行分析;一种是审美主义的,在肯定文学多重本质的前提下,... 详细信息

在反本质主义语境中,生存论与价值论的关联是文学本质探讨的逻辑起点。当下文学本质的言说呈现两种思路,一种是整体主义的,将文学的本质视做一个有机整体,对其多重性、多层次性进行分析;一种是审美主义的,在肯定文学多重本质的前提下,从生存价值论出发强调文学的审美超越性维度。对事实和价值关系的不同理解是造成文学本质讨论中分歧的原因所在,在价值判断中内在尺度的理性运用也许可以为文学本质言说提供出路。

关键词：本质言说生存价值论事实与价值

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T细胞免疫球蛋白和黏蛋白结构域蛋白3抑制银屑病患者CD14^+单核细胞分泌白细胞介素12

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中华皮肤科杂志 2019年第9期52卷 598-603页

作者：秦俊霞秦小卫赵鹏山西省人民医院皮肤科太原030012

目的评估T细胞免疫球蛋白和黏蛋白结构域蛋白3(TIM-3)对银屑病患者外周血CD14^+单核细胞分泌白细胞介素12(IL-12)的调控。方法收集2017年11月至2018年3月在山西省人民医院就诊的寻常型银屑病患者47例(银屑病组)和健康志愿者19例(对照组)... 详细信息

目的评估T细胞免疫球蛋白和黏蛋白结构域蛋白3(TIM-3)对银屑病患者外周血CD14^+单核细胞分泌白细胞介素12(IL-12)的调控。方法收集2017年11月至2018年3月在山西省人民医院就诊的寻常型银屑病患者47例(银屑病组)和健康志愿者19例(对照组),分离外周血单个核细胞,使用Toll样受体(TLR)配体刺激培养后,流式细胞仪检测CD14^+单核细胞中TIM-3的表达和IL-12的分泌情况。使用抗TIM-3中和抗体封闭TIM-3通路后观察CD14^+单核细胞下游信号通路及分泌IL-12的变化。两组间数据比较采用t检验,相关性分析采用Pearson检验。结果在未刺激条件下,CD14^+单核细胞分泌IL-12的水平较低,银屑病组CD14^+TIM-3^+细胞比例(12.20%±2.83%)显著高于对照组(9.91%±1.77%,t=3.270,P=0.0017)。TLR配体刺激后,银屑病组CD14^+IL-12^+细胞比例(13.49%±2.80%)显著低于对照组(28.97%±8.97%,t=10.71,P<0.0001),但CD14^+TIM-3^+细胞比例(6.80%±1.11%)仍显著高于对照组(4.85%±1.37%,t=6.064,P<0.0001)。对照组和银屑病组CD14^+TIM-3^+与CD14^+IL-12^+细胞比例呈显著负相关(r=-0.473和r=-0.371,P<0.05)。封闭TIM-3通路可诱导CD14^+单核细胞中细胞因子信号抑制物1表达降低,信号传导及转录激活因子1磷酸化增加,促进皮损部位分离的角质形成细胞所诱导的CD14^+单核细胞分泌IL-12增加。结论在银屑病中,TIM-3在CD14^+单核细胞介导的固有免疫应答中发挥重要的负性调控作用。

关键词：银屑病单核细胞白细胞介素12 抗原,CD14 T细胞免疫球蛋白和黏蛋白结构域蛋白3