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MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning Research Articles

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900121

Abstract: With the growing amount of information and data, s have been widely used in many applications, including the Google File System, Amazon S3, Hadoop Distributed File System, and Ceph, in which load balancing of plays an important role in improving the input/output performance of the entire system. Unbalanced load on the server leads to a serious bottleneck problem for system performance. However, most existing load balancing strategies, which are based on subtree segmentation or hashing, lack good dynamics and adaptability. In this study, we propose a (MDLB) mechanism based on (RL). We learn that the algorithm and our RL-based strategy consist of three modules, i.e., the policy selection network, load balancing network, and parameter update network. Experimental results show that the proposed MDLB algorithm can adjust the load dynamically according to the performance of the servers, and that it has good adaptability in the case of sudden change of data volume.

Keywords： 面向对象的存储系统；元数据；动态负载均衡；强化学习；Q_learning    

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Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints Article

Kun Li, Max Q.-H. Meng

Engineering 2015, Volume 1, Issue 1,   Pages 79-84 doi: 10.15302/J-ENG-2015024

Abstract: footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning

Keywords： personalized robot     habit learning     behavioral footprints    

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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract:

It is well documented that patients can show significant heterogeneous responses to treatments so the best treatment strategies may require adaptation over individuals and time. Recently, a number of new statistical methods have been developed to tackle the important problem of estimating personalized treatment rules using single-stage or multiple-stage clinical data. In this paper, we provide an overview of these methods and list a number of challenges.

Keywords： dynamic treatment regimes     personalized medicine     reinforcement learning     Q-learning    

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A deep Q-learning network based active object detection model with a novel training algorithm for service Research Article

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1673-1683 doi: 10.1631/FITEE.2200109

Abstract: Most of the current AOD methods are based on reinforcement learning with low training efficiency andThe DQN model is designed to fit the Q-values of various actions, and includes state space, feature extraction

Keywords： Active object detection     Deep Q-learning network     Training method     Service robots    

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Minimax Q-learning design for H∞ control of linear discrete-time systems Research Articles

Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG,lixinxing_1006@163.com,xilele.bit@gmail.com,zhawenzhong@126.com,peng@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 438-451 doi: 10.1631/FITEE.2000446

Abstract: Different from existing -learning methods, a novel gradient-based policy improvement scheme is proposedconverges to the saddle solution under initially admissible control policies and an appropriate positive learning

Keywords： H∞ control     Zero-sum dynamic game     Reinforcement learning     Adaptive dynamic programming     Minimax Q-learning    

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Learning natural ordering of tags in domain-specific Q&A sites

Junfang Jia, Guoqiang Li,jiajunfang816@163.com,li.g@sjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900645

Abstract: In this paper, we focus on the ing of tags in domain-specific Q&A sites.We study tag sequences of millions of questions in four Q&A sites, i.e., CodeProject, SegmentFault, BiostarsOur results show that users of these Q&A sites can develop implicit consensus about in which order theyOur study opens the path to improve existing tag recommendation and Q&A site navigation by leveraging

Keywords： Question and answering (Q&     A) sites     Tagging     Natural order     Skip gram    

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Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysis. classification method is confirmed by Japan Highway Public Corporation that this method can figure out either strength or deformability of rock mass, further appropriating the amount of rock bolts, thickness of shotcrete, and size of pitch of steel ribs just after the blasting procedure. Based on these advantages of method, in this study, according to data of five deep and long tunnels in Iran, two equations for estimating the value of method from and classification systems were developed. These equations as a new method were able to optimize the support system for and classification systems. From classification and its application in these case studies, it is pointed out that the method for the design of support systems in underground working is more reliable than the and classification systems.

Keywords： JH classification     Q and RMR classification     new method    

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An approach for evaluating fire resistance of high strength Q460 steel columns

Wei-Yong WANG, Guo-Qiang LI, Bao-lin YU

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 1,   Pages 26-35 doi: 10.1007/s11709-014-0239-9

Abstract: To develop a methodology for evaluating fire resistance of high strength Q460 steel columns, the loadbearing capacity of high strength Q460 steel columns is investigated.evaluating load bearing capacity of mild steel columns at room temperature is extended to high strength Q460steel columns with due consideration to high temperature properties of high strength Q460 steel.The critical temperature of high strength Q460 steel column is presented and compared with mild steel

Keywords： high strength Q460 steel     load bearing capacity     temperature    

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A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc Research Articles

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1308-1320 doi: 10.1631/FITEE.1900401

Abstract: In dense traffic unmanned aerial vehicle (UAV) ad-hoc networks, traffic congestion can cause increased delay and packet loss, which limit the performance of the networks; therefore, a strategy is required to control the traffic. In this study, we propose TQNGPSR, a traffic-aware enhanced protocol based on greedy perimeter stateless routing (GPSR), for UAV ad-hoc networks. The protocol enforces a strategy using the congestion information of neighbors, and evaluates the quality of a wireless link by the algorithm, which is a algorithm. Based on the evaluation of each wireless link, the protocol makes routing decisions in multiple available choices to reduce delay and decrease packet loss. We simulate the performance of TQNGPSR and compare it with AODV, OLSR, GPSR, and QNGPSR. Simulation results show that TQNGPSR obtains higher packet delivery ratios and lower end-to-end delays than GPSR and QNGPSR. In high node density scenarios, it also outperforms AODV and OLSR in terms of the packet delivery ratio, end-to-end delay, and throughput.

Keywords： Traffic balancing     Reinforcement learning     Geographic routing     Q-network    

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R158Q and G212S, novel pathogenic compound heterozygous variants in of Gitelman syndrome

Frontiers of Medicine   Pages 932-945 doi: 10.1007/s11684-022-0963-9

Abstract: The prediction of mutant protein showed that p.R158Q and p.G212S could alter protein’s three-dimensionalMeanwhile, we conducted a compound heterozygous model—Ncc R156Q/G210S mice corresponding to human NCCR158Q/G212S.The hydrochlorothiazide test showed a loss of function of mutant Ncc in NccR156Q/G210S miceThese findings indicated that R158Q and G212S variants of SLC12A3 were pathogenic variants of

Keywords： Gitelman syndrome     mouse model     compound heterozygous     hypokalemia     Slc12a3    

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Simultaneous Screening of 733 Pesticide Residues in Fruits and Vegetables by a GC/LC-Q-TOFMS Combination Article

Guofang Pang, Qiaoying Chang, Ruobin Bai, Chunlin Fan, Zijuan Zhang, Hongyuan Yan, Xingqiang Wu

Engineering 2020, Volume 6, Issue 4,   Pages 432-441 doi: 10.1016/j.eng.2019.08.008

Abstract: chromatography (LC)– and gas chromatography (GC)–quadru pole-time-of-flight mass spectrometry (Q-TOFMSstandard materials as references through one sample preparation and the combination of GC/LC–Q-TOFMStechnique, the combination technique shows an improvement of 51.1% (GC–QTOFMS) and 39.6% (LC–Q-TOFMS

Keywords： Pesticide multi-residues     GC–Q-TOFMS      LC–Q-TOFMS     Accurate mass database      Spectra library      Fruits and    

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A New Type of Q-switched and Frequency-doubling Green Laser

Chen Fei,Huo Yujing,He Shufang,Feng Lichun

Strategic Study of Chinese Academy of Engineering 2000, Volume 2, Issue 4,   Pages 39-42

Abstract:

A new type of LD pumped Nd： YV04- KTP Q-switched green laser is demonstrated.By using the KTP crystal as both an electro-optic Q-switcher and a frequency-doubling crystal in type

Keywords： KTP     green laser     electro-optic Q-switcher     frequency-doubling    

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Application research of Q&P concept in hot rolled AHSS production

Yuan Guo,Kang Jian,Zhang He,Li Yunjie,Hu Hongling and Wang Guodong

Strategic Study of Chinese Academy of Engineering 2014, Volume 16, Issue 1,   Pages 59-65

Abstract: industry，the development of advanced high strength steel obtained using the quenching and partitioning （Q&In the present work，the application of Q&P concept during hot rolling was investigated for wide useof Q&P process on the conventional hot rolling production line.It was shown that introducing thermo-mechanical treatment during the conventional Q&P process wasThe feasibility of producing the hot rolled Q&P steel（DQ（direct quenching）&P steel）was determined

Keywords： advanced high strength steel     Q&P     DQ&P     hot rolling     retained austenite    

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On-Line Supervisory Technology for Q-Factor in the Optical Supervisory Channel of Optical Transport Network

Tang Yong,Sun Xiaohan,Zhang Mingde,Ding Dong

Strategic Study of Chinese Academy of Engineering 2001, Volume 3, Issue 12,   Pages 71-75

Abstract: Basing on the one-to-one correspondence of Q-factor with bit-error-ratio (BER) in data communicationsystems, an on-line supervisory scheme for Q-factor of signals in OSC is presented, and the supervisorymodule by a digital signal processor (DSP) approach is designed to implement on-line supervision for Q-factor

Keywords： optical transport network (OTN)     optical supervisory channel (OSC)     OAM     Q-factor supervision    

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A rare case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24;q32) translocation

Xiaofeng Shi, Rong Ba, Haiyan You, Qian Jiang, Jiansong Huang, Jianhua Mao, Lanxiu Han, Shuo Zhang, Qin Zhuang, Xianqiu Yu, Lixia Wang, Yun Wang, Dongya Li, Wei Zhu, Yong Zhang, Yan Zhu, Xiaodong Xi

Frontiers of Medicine 2018, Volume 12, Issue 3,   Pages 324-329 doi: 10.1007/s11684-017-0558-z

Abstract: At present, only one case of SLVL with t(8;14)(q24;q32) translocation has been reported.study, we report a case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24;q32) chromosome translocation that we inclined to SLVL with a prolymphocytic transformation.The karyotype showed complex abnormality: 46XX,+3,−10, t(8;14)(q24;q32)[11]/46XX[9].described an unusual case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24

Keywords： splenic lymphoma with villous lymphocytes     splenic marginal zone lymphoma     transformation     chromosome translocation    

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Title Author Date Type Operation

MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Journal Article

Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints

Kun Li, Max Q.-H. Meng

Journal Article

Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Journal Article

A deep Q-learning network based active object detection model with a novel training algorithm for service

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Journal Article

Minimax Q-learning design for H∞ control of linear discrete-time systems

Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG,lixinxing_1006@163.com,xilele.bit@gmail.com,zhawenzhong@126.com,peng@bit.edu.cn

Journal Article

Learning natural ordering of tags in domain-specific Q&A sites

Junfang Jia, Guoqiang Li,jiajunfang816@163.com,li.g@sjtu.edu.cn

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

An approach for evaluating fire resistance of high strength Q460 steel columns

Wei-Yong WANG, Guo-Qiang LI, Bao-lin YU

Journal Article

A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

Journal Article

R158Q and G212S, novel pathogenic compound heterozygous variants in of Gitelman syndrome

Journal Article

Simultaneous Screening of 733 Pesticide Residues in Fruits and Vegetables by a GC/LC-Q-TOFMS Combination

Guofang Pang, Qiaoying Chang, Ruobin Bai, Chunlin Fan, Zijuan Zhang, Hongyuan Yan, Xingqiang Wu

Journal Article

A New Type of Q-switched and Frequency-doubling Green Laser

Chen Fei,Huo Yujing,He Shufang,Feng Lichun

Journal Article

Application research of Q&P concept in hot rolled AHSS production

Yuan Guo,Kang Jian,Zhang He,Li Yunjie,Hu Hongling and Wang Guodong

Journal Article

On-Line Supervisory Technology for Q-Factor in the Optical Supervisory Channel of Optical Transport Network

Tang Yong,Sun Xiaohan,Zhang Mingde,Ding Dong

Journal Article

A rare case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24;q32) translocation

Xiaofeng Shi, Rong Ba, Haiyan You, Qian Jiang, Jiansong Huang, Jianhua Mao, Lanxiu Han, Shuo Zhang, Qin Zhuang, Xianqiu Yu, Lixia Wang, Yun Wang, Dongya Li, Wei Zhu, Yong Zhang, Yan Zhu, Xiaodong Xi

Journal Article