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Real-time structural health monitoring system based on streaming data
Qilin Zhang,Siyuan Sun,Bin Yang,Roland Wüchner,Licheng Pan,Haitao Zhu 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2
In this paper, a novel real-time structural health monitoring (SHM) system based on streaming data is proposed. In contrast to a traditional SHM system, the proposed system implements a series of optimizations for data transmission and processing to reduce the latency and better satisfy the real-time requirement. The concept of the watermark in the streaming system is adopted to address the problem of when to trigger the time window calculation under the real-time requirement. Moreover, a well-designed parallel mechanism is used to satisfy the multistage computation requirement in the parallel data stream. A case study in which the proposed system is applied to the Shanghai Tower is presented. The peak picking method is used as an example in the test environment to track the latency of each main operation under different parallelism schemes. The results show that computing in parallel effectively reduces the latency and provides a reference for integrating the random decrement technique (RDT), stochastic subspace identification (SSI), or other more complex but effective algorithms in parallel into the system in the future. The total latency under the test environment from data generation to data transmission to the web server is approximately only 200-400 ms, which indicates the excellent real-time performance of the system.
Postpartum depression and its correlates in middle‐class women in Hunan, China
Guan Ziyao,Bai Wenhui,Qin Chunxiang,Sun Mei,Bai Xiaoling,Tang Siyuan 한국사회복지학회 2020 Asian Social Work and Policy Review Vol.14 No.2
Postpartum depression (PPD) has a negative impact on both infants and women. The middle-class group is rapidly expanding with increased but unmet psychological needs. To determine the risk and its correlates of PPD in middle-class women in Hunan, China. A sample of 306 middle-class puerperae from obstetric wards of a large general hospital was enrolled in the study. Our results showed 55.6% middleclass women were suspected PPD. Related risk factors included a history of complications, pregnancy stress, subjective support, and interaction effect between objective support and negative coping. The protective factors included objective support and an interaction effect between subjective support and negative coping. Early assessment and individualized guidance in terms of social support and coping to identify and prevent PPD in this population are required.
Genetic algorithm‐based content distribution strategy for F‐RAN architectures
Xujie Li,Ziya Wang,Ying Sun,Siyuan Zhou,Yanli Xu,Guoping Tan 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3
Fog radio access network (F‐RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm‐based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F‐RAN. First, an F‐RAN system model is presented that includes a certain number of randomly distributed fog access points (F‐APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F‐RANs is described. Third, the details of the proposed optimal genetic algorithm‐based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.
Wind engineering for high-rise buildings: A review
Haitao Zhu,Bin Yang,Qilin Zhang,Licheng Pan,Siyuan Sun 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.32 No.3
As high-rise buildings become more and more slender and flexible, the wind effect has become a major concern to modern buildings. At present, wind engineering for high-rise buildings mainly focuses on the following four issues: wind excitation and response, aerodynamic damping, aerodynamic modifications and proximity effect. Taking these four issues of concern in high-rise buildings as the mainline, this paper summarizes the development history and current research progress of wind engineering for high-rise buildings. Some critical previous work and remarks are listed at the end of each chapter. From the future perspective, the CFD is still the most promising technique for structural wind engineering. The wind load inversion and the introduction of machine learning are two research directions worth exploring.