检索结果-南通市图书馆

Hybrid Adaptive Event-Triggered Consensus Control with Intermittent Communication and Control Updating

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2024年

作者： YUAN Shuo YU Chengpu sun jian School of Automation Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center

This paper studies the distributed consensus control for linear multi-agent systems under discontinuous communication and control updating. A fully distributed event-triggered adaptive control protocol with strictly positive minimum interevent time(MIET) guarantees is proposed. First, an event-triggered distributed adaptive control law without using prior global information of network topologies is presented, which achieves asymptotic consensus via discrete control updating and intermittent communication. Then, a hybrid adaptive event-triggering scheme with an internal timer is designed that is activated only when the timer decreases to zero from a specified positive value. Under the proposed triggering scheme, not only Zeno behavior is excluded but also a strictly positive MIET between any two consecutive events is guaranteed, which facilitates the physical implementation. In contrast to the existing related results, the proposed fully distributed protocol only needs low-frequency communication and control updating, while ensuring the strictly positive MIET property. Finally, a simulation example is given to illustrate the effectiveness of the theoretical results.

关键词：

Performance Analysis of an Efficient Integration System of Coal-Fired Power Plant,Solar Thermal Energy and CO2 Capture

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Thermal Science 2024年第4期33卷 1509-1522页

作者： WANG Yuhao WANG Ruilin LIU Lanhua XING Chenjian GUO Yafei YANG Qingshan YING Jiaheng sun jian LI Wenjia LIU Yuanyuan ZHAO Chuanwen School of Energy and Mechanical Engineering Nanjing Normal University China Huadian Group Co.LTD.Shanghai Branch Key Laboratory of Efficient Utilization of Low and Medium Grade Energy(Tianjin University) Ministry of Education of China Huadian Zhengzhou Mechanical Design Institute Company Limited

Coal-fired power plant is a major contributor to greenhouse gas emissions.The post-combustion capture is a promising method for CO2emission reduction but the high thermal demand is unbearable.To address this issue,solar thermal energy and CO2capture are jointly integrated into the coal-fired power plant in this study.The solar thermal energy is employed to meet the heat requirement of the CO2capture process,thereby avoiding the electricity loss caused by self-driven CO2capture.Furthermore,the heat released from the carbonation reaction of MgO adsorbent is integrated into the steam Rankine cycle.By partially substituting the extracted steam for feedwater heating,the electricity output of the power plant is further increased.According to the results from the developed model,the system could achieve a CO2capture rate of 86.5% and an electricity output enhancement of 9.8% compared to the reference system,which consists of a self-driven CO2capture coal-fired power plant and PV generation unit.The operational strategy is also optimized and the amount of CO2emission reduction on a typical day is increased by 11.06%.This work shows a way to combine fossil fuels and renewable energy for low carbon emissions and efficient power generation.

关键词： CO 2 capture parabolic trough collector solar aided coal-fired electricity generation

Effectiveness and safety of Jiawei Xiaoyao pill(加味逍遥丸)in the treatment of premenstrual syndrome(liver depression,spleen deficiency,and blood-heat syndrome):a multi-center,randomized,placebo-controlled trial

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Traditional Chinese Medicine 2024年第2期44卷 373-380页

作者： LI Xiyu YANG Yanhong sun jian NIE Quanfang LIU Lifen LI Guifen YU Junping ZHANG Zhuangjin XU Yi ZOU Ting SHI Yun Department of Gynecology Dongzhimen HospitalBeijing University of Chinese MedicineBeijing 100700China Department of Gynecology Luoyang 1st Hospital of TCMLuoyang 471099China Department of Gynecology Zaozhuang Hospital of TCMZaozhuang 277099China Department of Gynecology and Obstetrics Loudi Central HospitalLoudi 417099China Department of Gynecology and Obstetrics Yiyang 1st Hospital of TCMYiyang 413002China Department of Gynecology Harrison International Peace HospitalHengshui 053000China Department of Gynecology and Obstetrics Shanxi Fenyang HospitalFenyang 032299China Department of Gynecology and Obstetrics Hengyang Chinese Medicine HospitalHengyang 421001China Scientific Research Institute of Beijing Tongrentang Technology Development Co. Ltd.Beijing 100061China Female Reproductive and Health Medicine Research Committee of Chinese Traditional Medicine Association Beijing 100061China

OBJECTIVE:To investigate the effectiveness and safety of Jiawei Xiaoyao pill(加味逍遥丸,JXP)in the treatment of symptoms associated with premenstrual syndrome(PMS).METHODS:A total of 144 regularly menstruating women with PMS were recruited at 8 sites in China from August 2017 to December 2018,and randomized to receive either a JXP or a matching placebo(12 g/d,6 g twice a day)for 3 menstrual cycles.The primary indicator was the reduced Daily Record of Severity of Problems(DRSP)scores in the luteal phase after 3 months of treatment.The safety outcomes included clinical adverse events(AEs),adverse reactions(ARs),changes in vital signs,and laboratory tests.RESULTS:JXP surpassed the placebo in reducing DRSP scores(psychological/somatic dysfunction)in the luteal phase over 3 menstrual cycles of treatment(PFAS=0.002,PPPS=0.001).Additionally,there were no significant differences in the incidence of AEs,severe AEs,withdrawal due to AEs and ARs between the two groups(all P>0.05),and no clinically significant adverse medical events related to the test drug observed.CONCLUSIONS:JXP was superior to the placebo in relieving the symptoms associated with PMS,which signified that JXP may be effective,safe,and welltolerated as an alternative therapy.

关键词： premenstrual syndrome randomized controlled trial double-blind method Jiawei Xiaoyao pill

A Method for Detecting and Recognizing Yi Character Based on Deep Learning

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第2期78卷 2721-2739页

作者： Haipeng sun Xueyan Ding jian sun HuaYu jianxin Zhang School of Computer Science and Engineering Dalian Minzu UniversityDalian116600China Institute of Machine Intelligence and Bio-Computing Dalian Minzu UniversityDalian116600China 3Yi Language Research RoomChina Ethnic Languages Translation Centre Beijing100080China

Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detection and recognition.In the detection stage,an improved Differentiable Binarization Network(DBNet)framework is introduced to detect Yi characters,in which the Omni-dimensional Dynamic Convolution(ODConv)is combined with the ResNet-18 feature extraction module to obtain multi-dimensional complementary features,thereby improving the accuracy of Yi character detection.Then,the feature pyramid network fusion module is used to further extract Yi character image features,improving target recognition at different scales.Further,the previously generated feature map is passed through a head network to produce two maps:a probability map and an adaptive threshold map of the same size as the original map.These maps are then subjected to a differentiable binarization process,resulting in an approximate binarization map.This map helps to identify the boundaries of the text boxes.Finally,the text detection box is generated after the post-processing stage.In the recognition stage,an improved lightweight MobileNetV3 framework is used to recognize the detect character regions,where the original Squeeze-and-Excitation(SE)block is replaced by the efficient Shuffle Attention(SA)that integrates spatial and channel attention,improving the accuracy of Yi characters recognition.Meanwhile,the use of depth separable convolution and reversible residual structure can reduce the number of parameters and computation of the model,so that the model can better understand the contextual information and improve the accuracy of text recognition.The experimental results illustrate that the proposed method achieves good results in detecting and recognizing Yi characters,with detection and recognition accuracy rates of 97.5%and 96.8%,respectively.And also,we have compared the detection and recognition algorithms proposed in this paper with

关键词： Yi characters text detection text recognition attention mechanism deep neural network

Adversarial data splitting for domain generalization

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2024年第5期67卷 28-42页

作者： Xiang GU jian sun Zongben XU School of Mathematics and Statistics Xi'an Jiaotong University

Domain generalization aims to learn a model that is generalizable to an unseen target domain,which is a fundamental and challenging task in machine learning for out-of-distribution generalization. This paper proposes a novel domain generalization approach that enforces the learned model to be able to generalize well over the train/val subset splitting of the training dataset. This idea is modeled herein as an adversarial data splitting framework, formulated as a min-max optimization problem inspired by the metalearning approach. The min-max optimization problem is solved by iteratively splitting the training dataset into the training and val subsets to maximize the domain shift measured by the objective function and updating the model parameters to enable the model to generalize well from the training subset to the val subset by minimizing the objective function. This adversarial training approach does not assume the known domain labels of the training data; instead, it automatically investigates the “hard” splitting of the train/val subsets to learn the generalizable model. Extensive experimental results using three benchmark datasets demonstrate the superiority of this approach. In addition, we derive a generalization error bound for the theoretical understanding of our proposed approach.

关键词： domain generalization adversarial learning data splitting meta-learning out of distribution

Control of 2-D Semi-Markov Jump Systems:A View from Mode Generation Mechanism

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 258-260页

作者： Yunzhe Men jian sun Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems the School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-D Markov jump systems(MJSs) or 2-D semi-Markov jump systems(SMJSs).This letter investigates the control of 2-D SMJSs based on a novel mode generation mechanism,which could avoid mode ambiguousness phenomenon caused by the evolution of system mode in two different directions.The criterion that guarantees the almost surely exponential stability of the system is obtained.A thermal process is studied to demonstrate the availability of the proposed method.

关键词： Markov mode system

A DFT study on Pt single atom loaded COF for efficient photocatalytic CO_(2)reduction

在线全文

学校读者我要写书评

暂无评论

Journal of Materials Science & Technology 2024年第3期170卷 87-94页

作者： Fei Xie Chuanbiao Bie jian sun Zhenyi Zhang Bicheng Zhu Laboratory of Solar Fuel Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan430078China Key Laboratory of New Energy and Rare Earth Resource Utilization of State Ethnic Affairs Commission Key Laboratory of Photosensitive Materials and Devices of Liaoning ProvinceSchool of Physics and Materials EngineeringDalian Minzu UniversityDalian116600China

Photocatalytic CO_(2)reduction provides a promising strategy for the alleviation of greenhouse effect and energy shortage problem.Metal single atom modification is an effective method to improve the CO_(2)reduction performance of covalent organic framework(COF)photocatalysts,while the intrinsic mechanism is not revealed in depth.Herein,a Pt-COF photocatalytic system was constructed by embedding Pt single atom in TFPT-TMT-COF(TFPT:1,3,5-tris(4-formylphenyl)-triazine,TMT:2,4,6-trimethyl-1,3,5-triazine).Based on density functional theory(DFT)calculation,the geometric structure and electronic property of Pt-COF were investigated,and the CO_(2)adsorption and reduction reaction process on Pt-COF were simulated.The results show that the Pt atom can be steadily anchored in COF via the formation of Pt-N and Pt-C bonds.Moreover,there is strong electronic interaction between Pt and COF.The incorporation of Pt atom benefits the CO_(2)reduction activity of COF from multiple aspects:(ⅰ)reducing the band gap and improving light absorption;(ⅱ)enhancing CO_(2)adsorption and activating the CO_(2)molecule;(ⅲ)decreasing the energy barrier in the hydrogenation step of CO_(2)→COOH,thus facilitating CO_(2)conversion to CO;(ⅳ)inhibiting the hydrogenation of CO,thereby increasing the selectivity of CO.This work brings a novel insight into the excellent CO_(2)reduction performance of Pt modified COF,and provides useful references for the design of single atom photocatalysts.

关键词： Photocatalysis Carbon dioxide reduction Covalent organic framework Pt single atom Theoretical calculation

Relaxed Stability Criteria for Time-Delay Systems:A Novel Quadratic Function Convex Approximation Approach

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 996-1006页

作者： Shenquan Wang Wenchengyu Ji Yulian jiang Yanzheng Zhu jian sun College of Electrical and Electronic Engineering Changchun University of TechnologyChangchun 130012China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of TechnologyBeijing 100081China

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic term.The developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular values.Moreover,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre inequality.As a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay systems.Finally,the superiority of our results is illustrated through three numerical examples.

关键词： Equivalent reciprocal combination technique quadratic function convex approximation approach stability timevarying delay

The NAC transcription factor LuNAC61 negatively regulates fiber development in flax (Linum usitatissimum L.)

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2024年第3期23卷 795-805页

作者： Dongwei Xie Jing Li Wan Li Lijun sun Zhigang Dai Wenzhi Zhou jianguang Su jian sun School of Life Sciences Nantong UniversityNantong 226019China Institute of Crop Cultivation and Tillage Heilongjiang Academy of Agricultural SciencesHarbin 150086China Institute of Bast Fiber Crops Chinese Academy of Agricultural SciencesChangsha 410221China jiangsu Sanshu Biotechnology Co.Ltd. Nantong 226001China

Flax is a crucial fiber crop that exhibits excellent textile properties and serves as a model plant for investigating phloem fiber development. The regulation of multiple genes significantly influences fiber development, notably involving NAC(NAM, ATAF1/2, CUC2) transcription factors in forming the fiber secondary cell wall(SCW).Overexpression of LuNAC61 in flax resulted in sparse top meristematic zone leaves and significantly reduced stem cellulose content. Scanning electron microscopy and staining observations revealed a significant reduction in fiber bundles. β-Glucuronidase(GUS) staining analysis demonstrated high activity of the LuNAC61 promoter in the bast fibers of the flax stem. Additionally, several members of the LuPLATZ and LuCesA families exhibited significant coexpression with LuNAC61. Subcellular localization indicated the presence of LuPLATZ24 protein in the nucleus and cytoplasm, LuNAC61 protein exclusively in the nucleus, and LuCesA10 in the nucleus and endoplasmic reticulum. LuPLATZ24 positively regulates LuNAC61, whereas LuNAC61 negatively affects LuCesA10, suggesting the involvement of a metabolic network in regulating flax fiber development. In conclusion, this study provides a critical opportunity for a comprehensive and in-depth analysis of the mechanisms governing flax fiber development and the potential use of biotechnology to enhance flax fiber yield.

关键词： flax fiber development Lu NAC61 gene function gene interaction