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  • 1
    Online Resource
    Online Resource
    Deformation, Bearing Capacity, and Reliability of Building Formwork System Based on Real-Time Monitoring
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-6-3), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-6-3), p. 1-10
    Abstract: The deformation performance of aluminum alloy formwork under stress is investigated in this research using static tests. The entire model of aluminum alloy formwork under load during construction is investigated using finite element simulation. And then, there’s the project’s actual value. The function is established during the construction period under the limit state of typical use of the wall in terms of reliability. The fluctuation characteristics of the dependability index of the out-of-plane deformation of the concrete wall are explored, and various results are produced, by taking into account the various reinforcement variables of the aluminum formwork. The study discovered that when the number of uses increases during the turnover usage process, the bearing capacity of the building formwork support gradually decreases, and the associated reliability index falls below 2. Adding horizontal and vertical rods above 3.6 m to the single support system, in combination with other elements, is recommended to strengthen its stability. The results reveal that joint semirigidity and wall thickness have a significant influence on the ultimate bearing capacity of construction formwork. The change characteristics of building formwork ultimate bearing capacity in the process of repeated turnover use are studied by increasing the initial defect method to simulate the increase of building formwork turnover times, with the conclusion that the more repeated use times, the lower the building formwork ultimate bearing capacity.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/3967734
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 2
    Online Resource
    Online Resource
    The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-8-24), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-8-24), p. 1-10
    Abstract: Intelligent computing is an environment-adaptive computing method developed by using various mechanisms of physical or natural phenomena. The university stage is a critical period for a person’s physical and mental development. Healthy psychology and physical quality are the basic characteristics of students’ talents and a reliable guarantee for students’ normal study, life, and work. The purpose of this article is to study how to analyze and study the impression of jogging on the physical health of college students based on intelligent computing and describe the intelligent computing algorithm. This article puts forward the problem of the impact of jogging on the body, which is based on intelligent computing, elaborates on the concept of intelligent computing and related algorithms, and designs and analyzes the impact of jogging. The experimental results showed that after 5 months of jogging, there was no significant difference in the height and weight of the subjects. The body fat percentage of boys decreased significantly before and after exercise, but there was no significant difference after the statistical test (P  〉  0.05), from 20.42 ± 2.53 to 20.21 ± 3.28. The body fat percentage of girls decreased significantly, with a significant difference (P  〈  0.05), from 29.43 ± 4.27 to 25.72 ± 2.94.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/7491839
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 3
    Online Resource
    Online Resource
    Remote Vibration Monitoring and Fault Diagnosis System of Synchronous Motor Based on Internet of Things Technology
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-7-22), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-7-22), p. 1-10
    Abstract: With the rapid growth of the country’s economy and the rapid expansion of the industrial scale, the engine is developing towards high speed, high efficiency, and high power density. Synchronous motors are an important part of the power provided by large-scale chemical enterprises. The protection and control of synchronous motors are related to the long-term and safe operation of enterprise electrical equipment. The purpose of this paper is to realize the remote vibration monitoring and fault diagnosis of multiple rotating machines and real-time online monitoring and data storage function of the vibration state of the monitored equipment. The operation is simple and stable, and therefore, the problem of the equipment can be found at the first time, which provides forward operation of the equipment for a long time. In this paper, vibration caused by unbalanced mechanical equipment is not normally monitored remotely. Taking rigid rotor rotating machine as the research object, we adopt “Web server-database server-client” structure, the structure is the core software and hardware system design, and the application of Internet of Things technology enables users to remotely monitor and analyze the vibration state of multiple rotating mechanical devices at the same time. Hardware design mainly includes processor, function chip, sensor selection, filter circuit, adaptive sampling frequency signal acquisition circuit, and temperature measurement circuit design. Software design mainly includes main program design, signal acquisition subroutine, calibration subroutine, unbalanced calculation subroutine, and GPRS network communication subroutine. Finally, the function and stability of the whole system are verified through multiple experimental analyses. The objective has finally been achieved. The remote vibration monitoring and fault diagnosis system of the rotating machines designed on this paper is of low cost and high efficiency, simple operation, and high stability, and it is essential to identify and eliminate equipment errors in time.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2021/3456624
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 4
    Online Resource
    Online Resource
    Effect of Intelligent Navigation Control-Assisted Running on Promoting the Mental Health of College Students
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-7-15), p. 1-11
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-7-15), p. 1-11
    Abstract: Psychological wellness is a significant piece of the cutting edge idea of well-being, and a decent degree of emotional well-being is the assurance for understudies to study and live. The purpose of this paper is to study how to promote college students to form a good view of health and establish a healthy, civilized, and scientific way of life. This paper proposes the use of intelligent navigation control to assist running to promote the mental health of college students and proposes methods of intelligent navigation control to assist running. The experimental results in this paper show that E three − dimensional feeling  = 10.13, E action response time  = 4.12, and E sense of balance  = 3.35. It can be seen that the mental health indicators of college students after practice are better than those before practice.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/7073131
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 5
    Online Resource
    Online Resource
    Repression or indulgence? Distinctive government influence on firm financial and environmental misconduct in China
    Springer Science and Business Media LLC ; 2023
    In:  Asian Business & Management Vol. 22, No. 1 ( 2023-02), p. 379-402
    Details
    In: Asian Business & Management, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2023-02), p. 379-402
    Type of Medium: Online Resource
    ISSN: 1472-4782 , 1476-9328
    URL: Article
    DOI: 10.1057/s41291-021-00170-2
    RVK:
    QG 800
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2106083-6
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    Application of analytic hierarchy process-based model of Ratio of Comprehensive Cost to Comprehensive Profit (RCCCP) in pest management
    Elsevier BV ; 2009
    In:  Ecological Economics Vol. 68, No. 3 ( 2009-1), p. 888-895
    Details
    In: Ecological Economics, Elsevier BV, Vol. 68, No. 3 ( 2009-1), p. 888-895
    Type of Medium: Online Resource
    ISSN: 0921-8009
    URL: Article
    DOI: 10.1016/j.ecolecon.2008.07.021
    RVK:
    QA 10000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2009
    detail.hit.zdb_id: 1002942-4
    detail.hit.zdb_id: 1500316-4
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Reducing Simulation Input-Model Risk via Input Model Averaging
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2020
    In:  INFORMS Journal on Computing
    Details
    In: INFORMS Journal on Computing, Institute for Operations Research and the Management Sciences (INFORMS)
    Abstract: Input uncertainty is an aspect of simulation model risk that arises when the driving input distributions are derived or “fit” to real-world, historical data. Although there has been significant progress on quantifying and hedging against input uncertainty, there has been no direct attempt to reduce it via better input modeling. The meaning of “better” depends on the context and the objective: Our context is when (a) there are one or more families of parametric distributions that are plausible choices; (b) the real-world historical data are not expected to perfectly conform to any of them; and (c) our primary goal is to obtain higher-fidelity simulation output rather than to discover the “true” distribution. In this paper, we show that frequentist model averaging can be an effective way to create input models that better represent the true, unknown input distribution, thereby reducing model risk. Input model averaging builds from standard input modeling practice, is not computationally burdensome, requires no change in how the simulation is executed nor any follow-up experiments, and is available on the Comprehensive R Archive Network (CRAN). We provide theoretical and empirical support for our approach.
    Type of Medium: Online Resource
    ISSN: 1091-9856 , 1526-5528
    URL: Article
    DOI: 10.1287/ijoc.2020.0994
    RVK:
    QA 10000
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2020
    detail.hit.zdb_id: 2070411-2
    detail.hit.zdb_id: 2004082-9
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes
    Informa UK Limited ; 2021
    In:  Journal of the American Statistical Association Vol. 116, No. 533 ( 2021-01-02), p. 1-13
    Details
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 116, No. 533 ( 2021-01-02), p. 1-13
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
    URL: Article
    DOI: 10.1080/01621459.2020.1730852
    RVK:
    QA 10000
    RVK:
    SA 2455
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 9
    Online Resource
    Online Resource
    Leader creativity expectations motivate employee creativity: a moderated mediation examination
    Informa UK Limited ; 2017
    In:  The International Journal of Human Resource Management Vol. 28, No. 5 ( 2017-03-09), p. 724-749
    Details
    In: The International Journal of Human Resource Management, Informa UK Limited, Vol. 28, No. 5 ( 2017-03-09), p. 724-749
    Type of Medium: Online Resource
    ISSN: 0958-5192 , 1466-4399
    URL: Article
    DOI: 10.1080/09585192.2015.1109535
    RVK:
    QV 578
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2032106-5
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    A Cluster-Based Context-Tree Model for Multivariate Data Streams with Applications to Anomaly Detection
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2011
    In:  INFORMS Journal on Computing Vol. 23, No. 3 ( 2011-08), p. 364-376
    Details
    In: INFORMS Journal on Computing, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 23, No. 3 ( 2011-08), p. 364-376
    Abstract: Many applications, such as telecommunication and commercial video broadcasting systems, computer and networks, and Web mining, require modeling data streams that exhibit context dependency. Context dependency refers to the fact that the statistical distribution of a new sample is heavily conditioned by a set of the most recent samples that precedes it. However, statistical models such as context trees (CTs) that capture context dependency tend to be poorly scalable. This paper proposes a solution to the scalability problem of these models by transforming a data stream into high-level aggregates of clusters instead of modeling the original data stream. Using an information-theoretical approach, we leverage existing clustering techniques for static categorical data sets to capture dynamic data streams based on the CT models. Because the proposed approach can be applied repeatedly on different levels of a clustering hierarchy, it is suitable for predicting trends and detecting anomalies at any aggregate (or detail) level required. Experimental results, including video stream modeling, network intrusion detection, and Monte Carlo simulations, show that the proposed method is efficient in capturing high-level aggregates of large-scale dynamic systems and very effective for trend prediction and anomaly detection.
    Type of Medium: Online Resource
    ISSN: 1091-9856 , 1526-5528
    URL: Article
    DOI: 10.1287/ijoc.1100.0407
    RVK:
    QA 10000
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2011
    detail.hit.zdb_id: 2070411-2
    detail.hit.zdb_id: 2004082-9
    SSG: 3,2
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