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Predicting the Results of RNA Molecular Specific Hybridization Using Machine Learning

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IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1384-1396页

作者： Weijun Zhu xiaokai liu Mingliang Xu Huanmei Wu School of Information Engineering Zhengzhou UniversityZhengzhou 450001China School of Mathematics and Statistics Zhengzhou UniversityZhengzhou 450001China School of Informatics and Computing Indiana University-Purdue University IndianapolisIndianapolisIN 46074 USA

Ribonucleic acid(RNA)hybridization is widely used in popular RNA simulation software in *** limited by the exponential computational complexity of combin atorial problems,it is challenging to decide,within an acceptable time,whether a specific RNA hybridization is *** hereby introduce a machine learning based technique to address this *** machine learning(ML)models tested in the training phase include algorithms based on the boosted tree(BT)random forest(RF),decision tree(DT)and logistic regression(LR),and the corresponding models are *** the RNA molecular coding training and testing sets,the trained machine learning models are applied to predict the classification of RNA hybridization *** experiment results show that the op timal predictive accuracies are 96.2%,96.6%,96.0%and 69.8%for the RF,BT,DT and LR-based approaches,respectively,un der the strong constraint condition,compared with traditiona representative ***,the average computation efficiency of the RF,BT,DT and LR-based approaches are208679,269756,184333 and 187458 times higher than that o existing approach,*** an RNA design,the BT based approach demonstrates high computational efficiency and better predictive accuracy in determining the biological effective ness of molecular hybridization.

关键词： Biological effectiveness boosted tree(BT) decision tree(DT) random forest(RF) RNA design specific hybridization logistic regression(LR)

Robust signal recognition algorithm based on machine learning in heterogeneous networks

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Journal of Systems Engineering and Electronics 2016年第2期27卷 333-342页

作者： xiaokai liu Rong Li Chenglin Zhao Pengbiao Wang School of Telecommunication Engineering Beijing University of Posts and Telecommunications Testing Center The State Radio Monitoring Center

There are various heterogeneous networks for terminals to deliver a better quality of service. Signal system recognition and classification contribute a lot to the process. However, in low signal to noise ratio（SNR） circumstances or under time-varying multipath channels, the majority of the existing algorithms for signal recognition are already facing limitations. In this series, we present a robust signal recognition method based upon the original and latest updated version of the extreme learning machine（ELM） to help users to switch between networks. The ELM utilizes signal characteristics to distinguish systems. The superiority of this algorithm lies in the random choices of hidden nodes and in the fact that it determines the output weights analytically, which result in lower complexity. Theoretically, the algorithm tends to offer a good generalization performance at an extremely fast speed of learning. Moreover, we implement the GSM/WCDMA/LTE models in the Matlab environment by using the Simulink tools. The simulations reveal that the signals can be recognized successfully to achieve a 95% accuracy in a low SNR（0 dB） environment in the time-varying multipath Rayleigh fading channel.

关键词： heterogeneous networks automatic signal classification extreme learning machine(ELM) features-extracted Rayleigh fading channel

Prediction based dynamic resource allocation method for edge computing first networking

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The Journal of China Universities of Posts and Telecommunications 2023年第3期30卷 78-87页

作者： Zhang Luying liu xiaokai Li Zhao Xu Fangmin Zhao Chenglin School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Wulian Zhitong Technology Corporation Beijing 100041China StateGrid Liaoning Electric Power Supply Co. Ltd.Shenyang 110004China

Aiming at the factory with high-complex and multi-terminal in the industrial Internet of things(IIoT),a hierarchical edge networking collaboration(HENC)framework based on the cloud-edge collaboration and computing first networking(CFN)is proposed to improve the capability of task processing with fixed computing resources on the edge *** optimize the delay and energy consumption in HENC,a multi-objective optimization(MOO)problem is ***,to improve the efficiency and reliability of the system,a resource prediction model based on ridge regression(RR)is proposed to forecast the task size of the next time slot,and an emergency-aware(EA)computing resource allocation algorithm is proposed to reallocate tasks in edge *** on the simulation result,the EA algorithm is superior to the greedy resource allocation in time delay,energy consumption,quality of service(QoS)especially with limited computing resources.

关键词： cloud-edge collaboration computing first networking(CFN) computing resource allocation multi-objective optimization(MOO)

Edge-cloud collaborative intelligent production scheduling based on digital twin

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The Journal of China Universities of Posts and Telecommunications 2022年第2期29卷 108-120页

作者： Han Yifan Feng Tao liu xiaokai Xu Fangmin Zhao Chenglin School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China China National Tendering Center of Mach.&Elec.Equipment Beijing 100142China Beijing Smart-Iiot Technology Co. Ltd.Beijing 100144China

With the application of various information technologies in smart manufacturing,new intelligent production mode puts forward higher demands for real-time and robustness of production *** the production scheduling problem in large-scale manufacturing environment,digital twin(DT)places high demand on data processing capability of the *** requires both global prediction and real-time response *** order to solve the above problem,a DT-based edge-cloud collaborative intelligent production scheduling(DTECCS)system was proposed,and the scheduling model and method were ***-based edge-cloud collaboration(ECC)can predict the production capacity of each workshop,reassemble customer orders,optimize the allocation of global manufacturing resources in the cloud,and carry out distributed scheduling on the edge-side to improve scheduling and tasks processing *** the production process,the DTECCS system adjusts scheduling strategies in real-time,responding to changes in production conditions and order ***,simulation results show the effectiveness of DTECCS system.

关键词： edge-cloud collaboration(ECC) digital twin(DT) intelligent production scheduling real-time updated scheduling strategy

舍曲林联合右佐匹克隆治疗脑卒中后抑郁的临床效果及对睡眠质量的影响

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系统医学 2024年第3期9卷 123-126页

作者：段思玉刘晓凯赵岩赤峰市医院神经内科内蒙古赤峰024000

目的分析脑卒中后抑郁患者以舍曲林联合右佐匹克隆方式展开临床治疗的效果,并探究对患者睡眠质量的影响。方法选取2020年10月—2022年12月赤峰市医院神经内科收治的72例脑卒中后抑郁患者作为研究对象,以单盲分组方法实施组别划分,分为... 详细信息

目的分析脑卒中后抑郁患者以舍曲林联合右佐匹克隆方式展开临床治疗的效果,并探究对患者睡眠质量的影响。方法选取2020年10月—2022年12月赤峰市医院神经内科收治的72例脑卒中后抑郁患者作为研究对象,以单盲分组方法实施组别划分,分为参照组(n=36)与研究组(n=36),参照组以舍曲林为患者实施药物治疗,研究组以舍曲林联合右佐匹克隆方式为患者实施药物治疗,对两组患者临床治疗效果进行比较。结果研究组的总有效率(94.44%)高于参照组,差异有统计学意义(χ^(2)=6.400,P<0.05);治疗后,研究组的血清中枢神经特异蛋白显著低于参照组,且脑源性神经营养因子明显高于参照组,差异有统计学意义(P均<0.05);治疗后,研究组的神经功能缺损评估量表评分、匹兹堡睡眠质量指数量表评分、汉密顿抑郁量表评分、汉密尔顿焦虑量表评分均低于参照组,差异有统计学意义(P均<0.05);研究组的超敏C反应蛋白低于参照组,且血管内皮生长因子高于参照组,差异有统计学意义(P均<0.05)。结论脑卒中后抑郁患者以舍曲林联合右佐匹克隆方式实施药物治疗,可改善患者神经功能与睡眠质量,有助于患者临床治疗效果的提升,对缓解患者抑郁症状具有积极意义。

关键词：脑卒中抑郁舍曲林右佐匹克隆睡眠质量神经功能

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铜铝过渡线夹断裂故障原因分析

焊接技术 2024年第6期53卷 120-124页

作者：郑建军刘小恺谢利明内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司内蒙古呼和浩特010020

针对某110 kV变电站隔离开关用铜铝过渡线夹在运行过程中发生的断裂失效,文中利用宏观及显微组织观察、化学成分检测、SEM断口微区形貌观察及EDS能谱分析、硬度测试等方法,对铜铝过渡线夹的断裂原因及机理进行了分析。研究结果表明,铜... 详细信息

针对某110 kV变电站隔离开关用铜铝过渡线夹在运行过程中发生的断裂失效,文中利用宏观及显微组织观察、化学成分检测、SEM断口微区形貌观察及EDS能谱分析、硬度测试等方法,对铜铝过渡线夹的断裂原因及机理进行了分析。研究结果表明,铜铝过渡线夹的失效形式为低周疲劳断裂,断裂原因主要与运行过程中承受较大交变应力的作用有关。此外,铜材中Pb和Fe等元素的含量存在超标问题,也会进一步导致焊接接头的强度和疲劳抗力下降,加剧疲劳裂纹的扩展。最后,为铜铝过渡线夹的更换及选用提出了指导建议。

关键词：铜铝过渡线夹交变应力氧化膜疲劳断裂

Impact behaviors of poly-lactic acid based biocomposite reinforced with unidirectional high-strength magnesium alloy wires

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Progress in Natural Science:Materials International 2014年第5期24卷 472-478页

作者： Xuan Li Chao Guo xiaokai liu Lei liu Jing Bai Feng Xue Pinghua Lin Chenglin Chu School of Materials Science and Engineering and Jiangsu Key Laboratory for Advanced Metallic Materials Southeast University

A novel poly-lactic acid(PLA) based biocomposite reinforced with unidirectional high-strength magnesium alloy(Mg-alloy) wires for bone fracture fixation was fabricated by hot-compressing process. The macroscopical and microscopical impact behaviors of the biocomposite were investigated using impact experiments and finite element method(FEM), respectively. The results indicated that the biocomposite had favorable impact properties due to the plastic deformation behavior of Mg-alloy wires during impact process. While the content of Mg-alloy wires reached20 vol%, the impact strength of the composite could achieve 93.4 k J/m2, which is approximate 16 times larger than that of pure PLA fabricated by the same process. According to FEM simulation results, the complete destruction life of the composites during impact process increased with increasing volume fraction of Mg-alloy wires, indicating a high impact-bearing ability of the composite for bone fracture ***, the energy absorbed by Mg-alloy wires in the composites had a corresponding increase. In addition, it denoted that the impact properties of the composites are sensitive to the initial properties of the matrix material.

关键词： Impact property Magnesium alloy wire Poly-lactic acid Composite FEM

新能源电网电压波动下同步调相机失磁运行能力研究

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智慧电力 2024年第6期52卷 71-76,115页

作者：张爱军李丹丹刘小恺慕腾许国瑞赵越郭琪内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司内蒙古呼和浩特010020 华北电力大学电气与电子工程学院北京102206

同步调相机(SC)较强的无功支撑能力可有效提升新能源电网的电压稳定性,但实际运行中励磁系统故障引起的调相机失磁可能导致其转子失步,影响电网安全运行。为了研究新能源电网不同电压下同步调相机失磁后保持同步运行的能力,建立了300Mva... 详细信息

同步调相机(SC)较强的无功支撑能力可有效提升新能源电网的电压稳定性,但实际运行中励磁系统故障引起的调相机失磁可能导致其转子失步,影响电网安全运行。为了研究新能源电网不同电压下同步调相机失磁后保持同步运行的能力,建立了300Mvar调相机的时步有限元模型,研究了励磁绕组开路和短路故障下同步调相机的失磁运行特性,对比分析了励磁绕组不同失磁故障下同步调相机各电气量的差异;在此基础上,研究了新能源电网不同电压下同步调相机失磁运行特性,揭示了同步调相机失磁运行能力随初始无功功率的变化规律。结果表明,随着同步调相机初始无功功率的增加,其失磁后保持同步运行所需的系统电压会逐渐增加。

关键词：新能源电网电压波动同步调相机励磁故障失磁运行能力

Effect of Respective Additions of Ga, Zr and Combined Additions of Co, Ga, Zr on Magnetic Properties of Remanence-enhanced Nd_(8.4) Fe_(87.1) B_(4.5) Alloy

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Journal of Materials Science & Technology 2000年第2期16卷 118-120页

作者： Baozhi CUI, xiaokai SUN, Wei liu, Zhidong ZHANG, Dianyu GENG and Xinguo ZHAO (Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110015, China) Institute of Metal Research Chinese Academy of Sciences Shenyang 110015 China

The effect of a partial substitution of Zr, Ga; Co and Ga; Co. Ga and Zr; respectively, for Fe on the structure and magnetic properties of Nd_8.4Fe_87.1B_4.5 alloy prepared by mechanical alloying has been studied in detail. It has been shown that, intrinsic coercivity μ0 H_c and maximum magnetic energy product (BH)_max increase for only Zr or Ga-containing samples, which is mainly due to the refinement of soft grains. The combined addition of Co and Ga is less effective for improving μoH_c and (BH)_max than the respective addition of Co or Ga. which may be due to the formation of CsCl-type CoGa. μoH_c and (BH)_max for combined Co, Ga. Zr-added alloy are higher than those for the combined Co, Ga-added alloy but lower than those for only Zr-containing alloy.

关键词： Alloy Fe Zr on Magnetic Properties of Remanence-enhanced Nd Effect of Respective Additions of Ga Nd