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  1. Book ; Online: Disaster Intelligent Perception and Emergency Command of Power Grid

    Yu, Zhen / Feng, Jie / Tang, Shiyang / Liu, Zeyu / Yan, Yiran / Luo, Na

    2024  

    Author's details by Zhen Yu, Jie Feng, Shiyang Tang, Zeyu Liu, Yiran Yan, Na Luo
    Keywords Electric power distribution ; Electric power production
    Language English
    Size 1 Online-Ressource (VIII, 373 p. 224 illus., 138 illus. in color)
    Edition 1st ed. 2024
    Publisher Springer Nature Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online
    HBZ-ID HT030597923
    ISBN 978-981-99-7236-4 ; 9789819972357 ; 9789819972371 ; 9789819972388 ; 981-99-7236-1 ; 9819972353 ; 981997237X ; 9819972388
    DOI 10.1007/978-981-99-7236-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Disaster Intelligent Perception and Emergency Command of Power Grid

    Yu, Zhen / Feng, Jie / Tang, Shiyang / Liu, Zeyu / Yan, Yiran / Luo, Na

    2024  

    Keywords Electrical engineering ; Energy technology & engineering ; Power Grid ; Disaster Intelligent Perception ; Emergency Command Prototype System ; Multi-hazard Loss Prediction Model ; Emergency Auxiliary Decision Making ; Fusion Analysis Technology ; Emergency Disposal Efficiency ; Typhoon, Heavy Rainfall and Flooding ; Earthquake and Landslide
    Language English
    Size 1 electronic resource (373 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English
    HBZ-ID HT030645063
    ISBN 9789819972357 ; 9819972353
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Calibration and compensation of the angle measurement error caused by the torsional deformation of the industrial reducer performance test instrument.

    Yu, Zhen

    The Review of scientific instruments

    2023  Volume 94, Issue 4

    Abstract: The measurement of the reducer stiffness plays a vital role in evaluating the robot's performance. Since the angle measurement error caused by the instrument's torsional deformation is included in the angular sensor's measurement results, it cannot be ... ...

    Abstract The measurement of the reducer stiffness plays a vital role in evaluating the robot's performance. Since the angle measurement error caused by the instrument's torsional deformation is included in the angular sensor's measurement results, it cannot be used as the actual torsional deformation of the reducer. This paper analyzes the instrument's torsional deformation characteristics. Based on the features, a new method of calibration and compensation of the angle measurement error based on the improved B-spline curve fitting-gradient descent and particle swarm optimization-radial basis function neural network (IBSCF-GDPSO-RBF) method is proposed to eliminate the influence of the instrument torsional deformation. The steps of the IBSCF-GDPSO-RBF method are introduced, and the error compensation of angular measurement is carried out under load conditions. The experimental results show that the angle measurement error caused by the instrument deformation after compensation is within ± two angular seconds. The contribution of this paper is that the method calibrates and compensates for the angle measurement error based on the IBSCF-GDPSO-RBF method, which is not limited to measuring the RV reducer torsional deformation. It provides a reference for measuring and evaluating the actual RV reducer torsional rigidity under any load.
    Language English
    Publishing date 2023-12-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0131029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 4' 46/112: Show issues

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  4. Article ; Online: YOLO V5s-based Deep Learning Approach for Concrete Cracks Detection

    Yu Zhen

    SHS Web of Conferences, Vol 144, p

    2022  Volume 03015

    Abstract: Complex environmental conditions can lead to a variety of cracks in concrete engineering structures, and if these cracks are not promptly investigated and repaired, it is likely to lead to serious engineering accidents. Most of the traditional crack ... ...

    Abstract Complex environmental conditions can lead to a variety of cracks in concrete engineering structures, and if these cracks are not promptly investigated and repaired, it is likely to lead to serious engineering accidents. Most of the traditional crack detection method is by manual exclusion, which overly relies on the knowledge and experience of inspectors, and different inspectors have different definitions of crack detection standards, so it lacks a certain objectivity in quantitative analysis, and the efficiency of manual detection will gradually decrease as the workload rises. In recent years, deep learning networks have made many developments in the field of computer vision by their strong feature extraction ability and autonomous learning capability. The main objective of this paper is to detect crack information in crack images using YOLO V5s-based deep learning algorithm. Considering the complexity of the crack image background, the author adopted the threshold segmentation method based on the Otsu maximum inter-class variance to achieve the purpose of removing the background noise from crack images by constructing a connected domain for grayscale change points so as to fuse the noise points with the background. After that, the author used the YOLO V5s model to train and test the 3500 manually labeled crack images, and adopted the K-Means method to calculate the optimal initial anchor box size and pass it to the model for training, so as to improve the model’s detection of cracks. The evaluation index of the model after these two optimization methods was 84.37% for average precision (AP), 76.01% for average recall (AR), and 79.97% for average F1-score.
    Keywords Social Sciences ; H
    Subject code 004
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Study on Ergonomic Design of Artificial Intelligence Lower Limb Assist Brace for the Elderly.

    Yu, Zhen

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 3304513

    Abstract: The ergonomic design study of artificial intelligence lower limb-assisted brace for the elderly is a new design standard of lower limb-assisted brace for the elderly with mobility problems. Based on human factors engineering, this study tested and ... ...

    Abstract The ergonomic design study of artificial intelligence lower limb-assisted brace for the elderly is a new design standard of lower limb-assisted brace for the elderly with mobility problems. Based on human factors engineering, this study tested and analyzed the advantages and disadvantages of human lower limb motion mechanics, human gait motion law, and existing lower limb assisted brace design cases at home and abroad and concluded that the common external assisted method is less man-machine efficient than the internal assisted method. Therefore, a new brace joint rotation curvature, component parameters, and other key information were designed based on the structure of the medial assistance method. With the help of the engineering and scientific analysis methods in human factors engineering, the designed machines and systems are made more adaptable to the physiological and psychological characteristics of human beings. This study explores the interaction between humans and machines and the rationality of their mutual integration, which can effectively avoid repetitive strain injuries and other muscle diseases over time for users in the process of assistance and achieve efficiency, health, and safety. Subsequently, Rhino software was used for digital modeling, physical prototyping, experimental testing, and analysis of the design solution and continuous optimization of the design. At the same time, the perceptual engineering design method was utilized to meet the humanized aesthetic design requirements. The prototype of the design study was finally completed, which is more in line with the evaluation criteria of "human-machine-environment system" than the existing market design in terms of functional rationality, human-machine performance, and human experience. This demonstrates the validity of the design method and is an important reference for the design standard of the lower limb support for the elderly.
    MeSH term(s) Aged ; Artificial Intelligence ; Biomechanical Phenomena ; Braces ; Ergonomics ; Humans ; Lower Extremity
    Language English
    Publishing date 2022-08-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/3304513
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The influence of spousal support on the outcomes and willingness of work from home for female knowledge workers.

    Wang, Yu-Zhen / Yu, Rui-Feng

    Ergonomics

    2023  , Page(s) 1–13

    Abstract: This study identified the key factors of spousal support that influence the outcomes and willingness of female knowledge workers to work from home (WFH). A questionnaire of 59 items was developed, covering basic personal information, spousal support, ... ...

    Abstract This study identified the key factors of spousal support that influence the outcomes and willingness of female knowledge workers to work from home (WFH). A questionnaire of 59 items was developed, covering basic personal information, spousal support, work perception, work-life balance, and willingness to WFH: 139 valid responses from female participants were collected and analysed. Exploratory factor analysis revealed six distinct factors of spousal support. Regression analysis found that personal-related emotional support, personal-related instrumental support, work-related emotional support, and work-related instrumental support demonstrated positive correlations with work perception and work-life balance, while family-related instrumental support positively correlated with work-life balance. Personal-related emotional support and personal-related instrumental support positively correlated with the willingness to WFH. Notably, personal-related emotional support exhibited the strongest correlation coefficients for willingness and outcomes. The findings could provide information on how a husband could improve his wife's well-being when WFH.
    Language English
    Publishing date 2023-10-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 1920-3
    ISSN 1366-5847 ; 0014-0139
    ISSN (online) 1366-5847
    ISSN 0014-0139
    DOI 10.1080/00140139.2023.2270747
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uc I Zs.365: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article: [Glutamate and its ionotropic receptor agonists inhibit the response to acute hypoxia in carotid body of rats].

    Li, Chao-Hong / Liu, Yu-Zhen

    Sheng li xue bao : [Acta physiologica Sinica

    2023  Volume 75, Issue 4, Page(s) 537–543

    Abstract: The purpose of this study was to investigate the effect of glutamate and its ionotropic receptor agonists on the response to acute hypoxia in rat carotid body in vitro. Briefly, after SD rats were anesthetized and decapitated, the bilateral carotid ... ...

    Abstract The purpose of this study was to investigate the effect of glutamate and its ionotropic receptor agonists on the response to acute hypoxia in rat carotid body in vitro. Briefly, after SD rats were anesthetized and decapitated, the bilateral carotid bifurcations were rapidly isolated. Then bifurcation was placed into a recording chamber perfused with 95% O
    MeSH term(s) Rats ; Animals ; Glutamic Acid/pharmacology ; alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid/pharmacology ; N-Methylaspartate/pharmacology ; Carotid Body ; Rats, Sprague-Dawley ; Carbon Dioxide ; Receptors, N-Methyl-D-Aspartate ; Receptors, AMPA ; Hypoxia
    Chemical Substances Glutamic Acid (3KX376GY7L) ; alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid (77521-29-0) ; N-Methylaspartate (6384-92-5) ; Carbon Dioxide (142M471B3J) ; Receptors, N-Methyl-D-Aspartate ; Receptors, AMPA
    Language Chinese
    Publishing date 2023-08-15
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 604308-2
    ISSN 0371-0874
    ISSN 0371-0874
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 386: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: The Molecular Mechanism of Ion Selectivity in Nanopores.

    Chen, Yan-Nan / Liu, Yu-Zhen / Sun, Qiang

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 4

    Abstract: Ion channels exhibit strong selectivity for specific ions over others under electrochemical potentials, such as KcsA for ... ...

    Abstract Ion channels exhibit strong selectivity for specific ions over others under electrochemical potentials, such as KcsA for K
    Language English
    Publishing date 2024-02-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29040853
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  9. Article ; Online: Calibration of the angle measurement error caused by the industrial reducer performance test instrument torsional deformation.

    Yu, Zhen / Hao, Zongrui

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 21742

    Abstract: The measurement of the stiffness of a precision reducer is essential to estimating the reducer. Since the angular sensor's measurement results include the angle measurement error caused by the instrument's torsional deformation, it cannot be used as the ... ...

    Abstract The measurement of the stiffness of a precision reducer is essential to estimating the reducer. Since the angular sensor's measurement results include the angle measurement error caused by the instrument's torsional deformation, it cannot be used as the actual torsional deformation of the reducer. This paper analyzes the instrument's torsional deformation characteristics to reduce the angle measurement error. Based on the analysis, a new method of calibrating the angle measurement error based on the improved B-spline curve fitting-gradient descent and particle swarm optimization -radial basis function neural network (IBSCF-GDPSO-RBF) method is proposed. The method can eliminate the angle measurement error caused by the instrument's torsional deformation. The steps of the IBSCF-GDPSO-RBF method are presented, and the angular measurement error compensation is executed under load conditions. The experiment shows that the instrument deformation caused angle measurement error after compensation is within ± two angular seconds. This paper's innovation proposes the error calibration method based on the IBSCF-GDPSO-RBF method. It provides a reference for measuring and evaluating the actual torsional rigidity of the Rotary Vector (RV) reducer under any load.
    Language English
    Publishing date 2022-12-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-25683-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Research on the Coordinated Governance Mechanism of Cross-Regional and Cross-Basin Ecological Compensation in the Yangtze River Delta.

    Yu, Zhen / Zhao, Qingjian

    International journal of environmental research and public health

    2022  Volume 19, Issue 16

    Abstract: The development of a regionally integrated economy promotes the development of river basin ecological compensation toward cross-regional coordinated governance. The ecological compensation in the Yangtze River Delta has developed by leaps and bounds, ... ...

    Abstract The development of a regionally integrated economy promotes the development of river basin ecological compensation toward cross-regional coordinated governance. The ecological compensation in the Yangtze River Delta has developed by leaps and bounds, which is conducive to the research on the collaborative governance mechanism. Taking the ecological compensation policy data in the Yangtze River Delta as the research object, and using the social network analysis method, this paper analyzes the current situation of cross-basin cooperation in the Yangtze River Delta. A collaborative governance network is formed with 74 ecological compensation agreements, and the distribution law of the overall collaborative network is found. Using IAD to decompose the ecological compensation agreement rules, 303 institutional units were obtained, of which, 198 were selection rules, accounting for 65%. The research results show that: (1) The ecological compensation cooperation in the Yangtze River Delta region is mainly concentrated in the Jiaxing Jiashan, Wujiang District, Suzhou, and Qingpu District, Shanghai, forming a close cooperation triangle network, and Shanghai plays a strong "intermediary" role in it. (2) In institutional grammar analysis, the formulation of rules is biased toward choice rules and payoff rules, that is to say, the content of the rules is mostly how to cooperate and how to reward and punish but there is a lack of specific action scenarios and standards. The combination of social network and institutional analysis and development framework is conducive to the study of the ecological collaborative governance mechanism of the Yangtze River Delta, breaking the gap between different fields and regions, enhancing the enthusiasm for multi-subject governance in the Yangtze River Delta region, and giving full play to the effectiveness of multi-subject governance.
    MeSH term(s) China ; Rivers
    Language English
    Publishing date 2022-08-11
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph19169881
    Database MEDical Literature Analysis and Retrieval System OnLINE

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