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CSELM-QE: A Composite Semi-supervised Extreme Learning Machine with Unlabeled RSS Quality Estimation for Radio Map Construction

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Chinese Journal of Electronics 2020年第6期29卷 1016-1024页

作者： ZHAO Jianli WANG Wei sun qiuxia HUO Huan sun Guoqiang GAO Xiang ZHU Chendi College of Computer Science and Engineering Shandong University of Science and Technology College of Mathematics and Systems Science Shandong University of Science and Technology Faculty of Engineering and Information Technology University of Technology Sydney

Wireless local area network(WLAN)fingerprint-based localization has become the most attractive and popular approach for indoor ***,the primary concern for its practical implementation is the laborious manual effort of calibrating sufficient location-labeled *** Semi-supervised extreme learning machine(SELM) performs well in reducing calibration *** SELM methods only use Received signal strength(RSS) information to construct the neighbor graph and ignores location information,which helps recognizing prior information for manifold *** propose Composite SELM(CSELM) method by using both RSS signals and location information to construct composite ***,the issue of unlabeled RSS data quality has not been *** propose a novel approach called Composite semisupervised extreme learning machine with unlabeled RSS Quality estimation(CSELM-QE) that takes into account the quality of unlabeled RSS data and combines the composite neighbor graph,which considers location information in the semi-supervised extreme learning *** results show that the CSELM-QE could construct a precise localization model,reduce the calibration effort for radio map construction and improve localization *** quality estimation method can be applied to other methods that need to retain high quality unlabeled Received signal strength data to improve model accuracy.

关键词： localization accuracy location-labeled fingerprints calibration effort wireless local area network fingerprint-based localization indoor localization signal strength data Radio links and equipment Combinatorial mathematics calibration Composite Semisupervised extreme learning machine Radionavigation and direction finding unlabeled RSS data quality traditional SELM methods RSS signals precise localization model graph theory Composite SELM method location information radio map construction composite graph received signal strength information composite neighbor graph CSELM-QE wireless LAN indoor radio RSSI learning (artificial intelligence) quality estimation method unlabeled RSS Quality estimation

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The Influence of Unknown Parameters in AR（2） Process to the Control Chart’s Performance

The Influence of Unknown Parameters in AR（2） Process to th...

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第26届中国控制与决策会议

作者： qiuxia sun Qisheng Gao School of Mathematics and Systems Science Shandong University of Science and Technology College of Economics Qingdao University

ISBN: (纸本)9781479937097

For the 2-order auto-regressive process with unknown parameters, further analysis of the effect of the estimation of parameters to the performance of control charts are provided. The influence of the process parameter to the performance of control charts is obvious and the time series process needs to be estimated, so the impact of parameters’ valuation is necessary to be analyzed. Some conclusions and the transformation of the performance of control charts which arises from parameters’ valuation are summarized by numerical results.

关键词： auto-regressive process average run length control chart parameter estimation

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Physics based circuit compatible model for hybrid antiferroelectric random access memory

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Science China(Information Sciences) 2025年第1期68卷 396-397页

作者： qiuxia WU Yue PENG Wenwu XIAO Wenxuan MA Shuo ZHANG Litao sun Chunfu ZHANG Xiaohua MA Yue HAO School of Microelectronics Xidian University Xi'an Uni IC Semiconductors

Since the discovery of HfO2-based ferroelectric （FE） materials in 2011,considerable advancements have been made in material preparation,mechanism research,and device realization [1].Consequently,these materials are now regarded as leading candidates for embedded non-volatile memory（eNVM）.Beyond eNVM applications,recent studies have demonstrated that memory devices with antiferroelectric（AFE） films can achieve high response speeds,low latency,and reduced power consumption while maintaining excellent endurance characteristics [2,3].Additionally,the typical double hysteresis loops and multiple non-overlapping polarization current peaks of AFE films offer a novel approach to designing multistate ***,in order to further promote the application of high storage density AFE,an AFRAM electronic design automation （EDA） model must be developed,and it has yet to be proposed.

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Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people

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Journal of Genetics and Genomics 2024年第5期51卷 517-530页

作者： Yuntao sun Mengge Wang qiuxia sun Yan Liu Shuhan Duan Zhiyong Wang Yunyu Zhou Jun Zhong Yuguo Huang Xinyu Huang Qingxin Yang Xiangping Li Haoran Su Yan Cai Xiucheng Jiang Jing Chen Jiangwei Yan Shengjie Nie Liping Hu Junbao Yang Renkuan Tang Chuan-Chao Wang Chao Liu Xiaohui Deng Libing Yun Guanglin He West China School of Basic Science&Forensic Medicine Sichuan UniversityChengduSichuan 610041China Institute of Rare Diseases West China Hospital of Sichuan UniversitySichuan UniversityChengduSichuan 610000China Center for Archaeological Science Sichuan UniversityChengduSichuan 610000China Faculty of Forensic Medicine Zhongshan School of MedicineSun Yat-sen UniversityGuangzhouGuangdong 510275China Guangzhou Forensic Science Institute GuangzhouGuangdong 510055China Department of Forensic Medicine College of Basic MedicineChongqing Medical UniversityChongqing 400331China School of Clinical Medical Sciences North Sichuan Medical CollegeNanchongSichuan 637100China School of Basic Medical Sciences North Sichuan Medical CollegeNanchongSichuan 637100China School of Forensic Medicine Kunming Medical UniversityKunmingYunnan 650500China School of Stomatology North Sichuan Medical CollegeNanchongSichuan 637100China Department of Medical Laboratory North Sichuan Medical CollegeNanchongSichuan 637007China School of Life Sciences Xiamen UniversityXiamenFujian 361005China Anti-Drug Technology Center of Guangdong Province GuangzhouGuangdong 510230China School of Forensic Medicine Shanxi Medical UniversityJinzhongShanxi030600China

Tibeto-Burman(TB)people have endeavored to adapt to the hypoxic,cold,and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic ***,the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people,as well as their interaction mechanism,remain ***,we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity,admixture history,and differentiated adaptative features of geographically different TB-speaking *** identify genetic differentiation related to geography and language among TB-speaking people,consistent with their differentiated admixture process with incoming or indigenous ancestral source populations.A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin *** finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish *** signatures associated with the physical pigmentation(EDAR and SLC24A5)and metabolism(ALDH9A1)are identified in Loloish people,which differed from the high-altitude adaptative genetic architecture in ***-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.

关键词： Tibeto-Burman people Genetic profile Natural selection Genetic diversity Biological adaptation

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基于云物元模型的汽车客运站绿色等级评价

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干旱区资源与环境 2018年第2期32卷 81-86页

作者：孙秋霞孙一心孙璐山东科技大学数学与系统科学学院青岛266590 山东科技大学经济管理学院青岛266590

结合中国《绿色建筑评价标准》,提出了从节地与室外环境、节能与能源利用、节水与水资源利用、节材与材料资源利用、室内环境质量、施工管理、运营管理7个维度建立汽车客运站绿色等级评价指标体系。在此基础上,将云模型与物元模型相结合... 详细信息

结合中国《绿色建筑评价标准》,提出了从节地与室外环境、节能与能源利用、节水与水资源利用、节材与材料资源利用、室内环境质量、施工管理、运营管理7个维度建立汽车客运站绿色等级评价指标体系。在此基础上,将云模型与物元模型相结合,构建了云物元综合评价模型并采用客观赋权法-熵权法和主观赋权法-专家打分法相结合的方法来确定指标的综合权重。以青岛市汽车客运站为实例,对其绿色等级进行评价检验。结果表明:青岛市汽车客运站的绿色水平处于"二星级",与实际情况吻合,验证了该模型的合理性。

关键词：汽车客运站绿色等级评价云物元模型

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Modified residual control charts for processes with changing variances

Modified residual control charts for processes with changing...

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2011 Chinese Control and Decision Conference（CCDC）

作者： qiuxia sun,Jianli Zhao are with Faculty of mathematics and Computer Science,Shandong University of Science and Technology,Qingdao 266510,China qiuxia sun,Qisheng Gao are with the Department of economic,Qingdao University,Qingdao 266071,China

Statistical process control has paid less attention to the possibility that the variance of the process may change over time such as economic or social *** generalized autoregressive conditional heteroscedastic（GARCH） model here is put forward to fit processes with changing variances and the modified standard and EWMA residual control charts are adopted for monitoring the residuals from the fitting model for the target *** developed approach shows more validity and ***,an example is provided to illustrate the application and the effectiveness of the proposed control charts.

关键词： Statistical process control Standard control chart EWMA control chart GARCH model

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Evolutionary history and biological adaptation of Han Chinese people on the Mongolian Plateau

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hLife 2024年第6期2卷 296-313页

作者： Xiangping Li Mengge Wang Haoran Su Shuhan Duan Yuntao sun Hongyu Chen Zhiyong Wang qiuxia sun Qingxin Yang Jing Chen Ting Yang Yuguo Huang Jie Zhong Xiucheng Jiang Jinyue Ma Shijia Chen Yunhui Liu Lintao Luo Xinyu Lin Shengjie Nie Chao Liu Liping Hu Guanglin He School of Forensic Medicine Kunming Medical UniversityYunnanChina Center for Archaeological Science Sichuan UniversitySichuanChina Institute of Rare Diseases West China Hospital of Sichuan UniversitySichuan UniversitySichuanChina Anti-Drug Technology Center of Guangdong Province GuangdongChina West China School of Basic Science&Forensic Medicine Sichuan UniversitySichuanChina School of Laboratory Medicine North Sichuan Medical CollegeSichuanChina Institute of Basic Medicine and Forensic Medicine North Sichuan Medical CollegeSichuanChina Center for Genetics and Prenatal Diagnosis Affiliated Hospital of North Sichuan Medical CollegeSichuanChina Research Center for Genomic Medicine North Sichuan Medical CollegeSichuanChina Department of Forensic Medicine College of Basic MedicineChongqing Medical UniversityChongqingChina School of Forensic Medicine Shanxi Medical UniversityShanxiChina Department of Medical Genetics West China HospitalSichuan UniversitySichuanChina

Complex demographic processes and natural selection pressures are critical to resolving patterns of the molecular genetic basis of adaptive traits or complex *** ancient genome data allow us to trace how key traits evolved in different human populations over time,connecting ancient population history with disease susceptibility in western *** fill this gap in eastern Eurasians and provide deep insights into the evolutionary history of the populationspecific genetic basis of complex biological traits,we explored the evolutionary basis of adaptive traits in one integrative modern and ancient genomic database,including 225 out of 5583 genomes first reported *** comprehensively characterized the demographic history and biological adaptation of Han Chinese individuals on the Mongolian Plateau based on the allele frequency spectrum and haplotype-resolved *** found strong genetic homogeneity among geographically different Han populations from Inner Mongolia(IMH).We reconstructed their admixture models and demographic events,revealing that IMH had a close genetic relationship with ancient millet farmers and obtained additional gene flow from Altaic-speaking *** enrichment of selected candidate genes suggested that essential metabolism-related genes promoted the rapid adaptation of eastern Eurasians to ancient environmental shifts and dietary changes during agricultural *** trajectory reconstruction of metabolism-related genes of methylenetetrahydrofolate reductase(MTHFR)and fatty acid desaturase 1(FADS1)suggested that ancient dietary shifts during the Neolithic transition period promoted the differentiated metabolic rate of folate and fatty *** revealed the polygenicity of biological adaptation traits and the pleiotropy of adaptive genes,indicating that complex recent polygenic adaptations,genetic interactions,and genotype–phenotype correlations have contributed to the genetic architecture of comple

关键词： demographic history biological adaptation polygenicity and pleiotropy metabolic fitness

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基于Logistic模型的城市交通系统演化研究

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重庆交通大学学报（自然科学版） 2016年第1期35卷 156-161,166页

作者：刘新民孙峥孙秋霞山东科技大学经济管理学院山东青岛266590 山东科技大学电气与自动化工程学院山东青岛266590 山东科技大学数学与系统科学学院山东青岛266590

城市交通系统是城市大系统中的子系统,它具有生物学中由低级到高级演化的特征,并与其他子系统如经济、资源、环境等因素以及政府调控之间相互作用下最终形成比较稳定的有序结构。通过对交通系统演化机理的分析,构建交通系统演化过程的Lo... 详细信息

城市交通系统是城市大系统中的子系统,它具有生物学中由低级到高级演化的特征,并与其他子系统如经济、资源、环境等因素以及政府调控之间相互作用下最终形成比较稳定的有序结构。通过对交通系统演化机理的分析,构建交通系统演化过程的Logistic模型,通过仿真模拟,研究经济、资源、环境、政府等因素对交通系统演化的影响。以山东半岛城市群中心城市——青岛市交通系统的演化为例,验证模型的可行性,并计算出青岛交通系统演化的logistic方程,进而预测青岛市直至2050年的交通系统演化曲线,为青岛市交通系统建设进一步完善提供理论依据。

关键词：交通运输工程交通系统演化模型 Logistic方程仿真

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基于对比度和共识日的交通速度预测

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山东科技大学学报（自然科学版） 2023年第2期42卷 108-116页

作者：孙秋霞孙砚琦李勍山东科技大学数学与系统科学学院山东青岛266590

交通速度预测是智能交通系统中研究热点内容之一,准确预测交通速度有助于为出行者提供可靠的出行决策。考虑到路网中交通速度变化的时空关联性和规律性,本研究提出一种基于对比度和共识日的交通速度预测方法。首先,为捕捉短时内速度的... 详细信息

交通速度预测是智能交通系统中研究热点内容之一,准确预测交通速度有助于为出行者提供可靠的出行决策。考虑到路网中交通速度变化的时空关联性和规律性,本研究提出一种基于对比度和共识日的交通速度预测方法。首先,为捕捉短时内速度的变化特征,挖掘道路的空间关联性,构建对比度模型并根据其值更新历史数据的交通状态集;其次,采用K-means方法对更新后的数据集进行聚类,通过Rand指数识别出每簇的共识日,并根据其信息预测交通速度;最后,借助RMSE、MAE和ACC等指标分析了预测方法的有效性。分析结果表明,本研究方法预测准确率达93.8%,预测精度较高,计算速度较快,具有更好的适用性。

关键词：智能交通对比度聚类分析共识日识别速度预测

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城市道路交通网络脆弱性的云物元综合评价

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重庆交通大学学报（自然科学版） 2019年第6期38卷 6-11页

作者：刘新民孙璐孙秋霞山东科技大学经济管理学院山东青岛266590 山东科技大学数学与系统科学学院山东青岛266590

基于云理论与物元方法相结合的云物元综合评价模型,构建了包括道路网络基础设施、政府监管以及路网服务水平3个方面的城市道路交通网络脆弱性等级评价指标体系,采取主观赋权(专家打分法)与客观赋权(熵权法)相结合融合的方法确定综合权重... 详细信息

基于云理论与物元方法相结合的云物元综合评价模型,构建了包括道路网络基础设施、政府监管以及路网服务水平3个方面的城市道路交通网络脆弱性等级评价指标体系,采取主观赋权(专家打分法)与客观赋权(熵权法)相结合融合的方法确定综合权重,结果更具有效性。通过青岛市的统计数据,对其路网脆弱性进行评价,结果表明:2016年青岛市道路交通网络脆弱性评价等级为IV级,脆弱性等级相对偏高,与现实情况相符,验证了评价模型的合理性和可操作性。

关键词：交通工程道路交通网络脆弱性等级综合权重云物元模型

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