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RISS 인기검색어
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- 저자 : Lihui Ren (검색결과 3 건)
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The influence of wheel/rail gap and rotating mechanism on dynamic performance of APM
Yuanjin Ji,Lihui Ren,Huijie Wang 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.11
The dynamics equations of Automatic passenger mover (APM) vehicle with the middle-guiding single-axle tire running gears were derived using linearized tire model, in which side force and rolling contact effect on running tire are taken account. A simulation model of APM vehicle based on Simulink environment was built using object-oriented programming technique, and the effects of contact statues between guiding tires and rail and different rotation modes on of curving performance and ride quality were studied. The simulation has shown that the preload force on guiding tires don’t improve curving performance but significantly worsen lateral ride quality, whereas the gap between guiding tires and rail will increase the running tires side force and guiding tires radial force on curve. The gap between guide tires and rail should be controlled between 0 and 5 mm on compromising the curving performance and ride quality of APM vehicle. The cornering force of the rotating mechanism above the springs mode is greater than that of the below mode, and decreases with the increase of the curve radius, which is unfavorable to the curve passing.
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A Rapid Convergent Max-SINR Algorithm for Interference Alignment Based on Principle Direction Search
( Zhilu Wu ),( Lihui Jiang ),( Guanghui Ren ),( Gangyi Wang ),( Nan Zhao ),( Yaqin Zhao ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.5
The maximal signal-to-interference-plus-noise ratio (Max-SINR) algorithm for interference alignment (IA) has received considerable attention for its high sum rate achievement in the multiple-input multiple-output (MIMO) interference channel. However, its complexity may increase dramatically when the number of users approaches the IA feasibility bound, and the number of iterations and computational time may become unacceptable. In this paper, we study the properties of the Max-SINR algorithm thoroughly by presenting theoretical insight into the algorithm and by providing the potential of reducing the overall computational cost. Furthermore, a novel IA algorithm based on the principle direction search is proposed, which can converge more rapidly than the conventional Max-SINR method. In the proposed algorithm, it searches along the principle direction, which is found to approximately point to the convergence values, and can approach the convergence solutions rapidly. In addition, the closed-form solution of the optimal step size can be formulated in the sense of minimal interference leakage. Simulation results demonstrate that the proposed algorithm outperforms the conventional minimal interference leakage and Max-SINR algorithms in terms of the convergence rate while guaranteeing the high throughput of IA networks.
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Shiguo Xu,Yixiao Cui,Chuanxi Yang,Shujing Wei,Wenping Dong,Lihui Huang,Changqing Liu,Zongming Ren,Weiliang Wang 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.2
The Fuzzy Comprehensive Evaluation (FCE) and the Principal Component Analysis (PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The membership functions were established via the Nor-Half Sinusoidal Distribution Method, and the weight was calculated via the Exceeding Standard Multiple Method. To enhance the efficiency of extracting principal pollutant, the eigenequation was solved through the Jacobi Method, and the principal components were extracted based on eigenvalue, contribution ratio, accumulating contribution ratio, principal component loading and score. Water quality classification based on “National Surface Water Environmental Quality Standards of China (GB3838-2002) was used to assess the water quality. Considering the difference of the temporal and spatial distribution in average, water quality of Level I was 28.9%, 28.1%, 25.1%, 25.6%, respectively in spring, summer, autumn, and winter, which suggested that water quality in spring and summer was better than in autumn and winter. The order of water quality was Zhaoyang Lake (Level I) > Nanyang Lake (Level I) > Dushan Lake (Level III) > Weishan Lake (Level III and IV). There were four extracted principal components that can replace the fourteen pollutant indexes for assessing water quality. According to the annual mean data of the 1<SUP>st</SUP> principal components, the most important pollutions were heavy metals, including As (0.933), Hg (0.931), Cd (0.929), Cr(VI) (0.926), Pb (0.925), and Cu (0.534). It is proved that the combined FCE-PCA model could provide valuable information in the water quality assessment for the Nansi Lake Basin.
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