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Real hypersurfaces with *-Ricci tensors in complex two-plane Grassmannians
Xiaomin Chen 대한수학회 2017 대한수학회보 Vol.54 No.3
In this article, we consider a real hypersurface of complex two-plane Grassmannians $G_2(\mathbb{C}^{m+2}),m\geq3$, admitting commuting $*$-Ricci and pseudo anti-commuting $*$-Ricci tensor, respectively. As the applications, we prove that there do not exist $*$-Einstein metrics on Hopf hypersurfaces as well as $*$-Ricci solitons whose potential vector field is the Reeb vector field on any real hypersurfaces.
Research on SOC Test Bus Allocation Algorithm under the Constraint of Temperature
Xiaomin Li,Shuanghua Huang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.8
The main concern is over rising temperature during the testing of complex system-on-chip (SOC), this paper studies SOC wrapper and test access mechanism (TAM), and proposes an improved algorithm of TAM assignment under the constraints of temperature. The algorithm uses temperature superposition method and adds compression process. This algorithm can find the test structure that uses shorter test time.
Xiaomin Jin,Yuanan Liu,Wenhao Fan,Fan Wu,Hongguang Zhang 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2
Nowadays, many network devices have more than one network interface. Meanwhile, many protocols have been proposed to utilize multiple paths simultaneously. MPTCP (Multipath TCP) is a transport layer protocol that transfers data by multiple paths simultaneously, which is designed to improve the throughput and increase robustness of end to end transmission. However, when we use MPTCP, we find that MPTCP can not improve the throughput but even reduce the throughput in some cases. In this paper, we study this issue. Firstly, we study the effects of path characteristics for throughput of MPTCP, and find that path characteristics especially those bad paths have a great impact on the performance of MPTCP. Secondly, we analyze the reasons why the bad path characteristics have a serious impact on throughput of MPTCP, and propose a path selection method based on throughput prediction model and available bandwidth to improve the throughput. Finally, we validate our path selection method by simulations, and the results show that our method can improve the throughput of MPTCP.
Performance monitoring of timber structures in underground construction using wireless SmartPlank
Xiaomin Xu,Kenichi Soga,Sarfraz Nawaz,Neil Moss,Keith Bowers,Mohammed Gajia 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.3
Although timber structures have been extensively used in underground temporary supportingsystem, their actual performance is poorly understood, resulting in potentially conservative andover-engineered design. In this paper, a novel wireless sensor technology, SmartPlank, is introduced tomonitor the field performance of timber structures during underground construction. It consists of a woodenbeam equipped with a streamlined wireless sensor node, two thin foil strain gauges and two temperaturesensors, which enables to measure the strain and temperature at two sides of the beam, and to transmit thisinformation in real-time over an IPv6 (6LowPan) multi-hop wireless mesh network and Internet. FourSmartPlanks were deployed at the London Underground’s Tottenham Court Road (TCR) stationredevelopment site during the Stair 14 excavation, together with seven relay nodes and a gateway. Themonitoring started from August 2013, and will last for one and a half years until the Central Line possessionin 2015. This paper reports both the short-term and long-term performances of the monitored timberstructures. The grouting effect on the short-term performance of timber structures is highlighted; the groutinjection process creates a large downward pressure on the top surface of the SmartPlank. The short and longterm earth pressures applied to the monitored structures are estimated from the measured strains, and theestimated values are compared to the design loads.
Improved Inventory Management for Retail Stores based on Intelligent Demand Forecasts
Xiaomin Zhu,Xi Xiang,Donghua Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.8
In order to meet the increasing daily demands of customers and reduce the unnecessary cost in retail stores as far as possible, the inventory management of retail stores becoming more and more important. However, because of various characteristics of demand in retail stores, the traditional demand forecasting technologies can’t work well. In this paper, we use the modified K-means clustering analysis to help determine the groups with different characteristics of demand. In addition, a demand forecasting model integrated BP neural networks and grey model is proposed to make the prediction more intelligent and general. The example illustrates that the proposed method for forecast is feasible by the comparative analysis between the predicted values and the actual values.
Impact of aspect ratio and surface heating on pollutant transport in street canyons
Xiaomin Xie,Zhen Huang 대한기계학회 2007 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.21 No.11
This paper investigated the impacts of surface heating on pollutant transport and Air Exchange Rate (AER) in street canyons of different aspect ratios (building height H to street width W ) using computational fluid dynamic (CFD) technique. Street canyons of H/W varied from 0.1 to 2 were employed in the study. These street-canyon aspect ratios covered a range of basic flow regimes including skimming flow (H/W =1 and 2), wake interference flow (H/W = 0.5), and isolated roughness flow (H/W = 0.1). Different facade/surface heating imposed different influence on the flow field and pollutant transport in street canyons of different H/W. The AER induced by vertical velocity fluctuation AERw" and mean vertical velocity AERw. AER of street canyon with different H/W and different surface heating exhibited their unique characteristics.
THE ANALYSIS OF SPARK PLUG VOLTAGE IN KNOCK DETECTING
Xiaomin Wu,J.O,Chas,S.M.Lee,Y.S.Jung,J.K.Park,S.I.Moon 한국자동차공학회 1996 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1996 No.11_2
This paper describes a system for knock detection in automobile engine using the spark plug as a detecting probe. The authors carried out researches on a method which used ionic current of spark plug analysis for monitoring the combustion in an internal combustion engine. By this method, the spark plug was used as an ion density measurement probe directly, the flame behavior at the initial combustion stage was positively detected. The operations base on detection the ionic current which occurs when hydrocarbon is burned, by applying the DC bias voltage across the spark plug gap, thus the monitoring can be done in real time by processing Digital oscilloscope and the ionic current can be achieved.<br/> The results of experiment on four-cylinders engine could be included in this paper. By making use of the spark plug gap as an ion density measurement sensor, the authors analyze many factors for detecting ionic current (voltage), such as the polarity of bias voltage in a spark plug. the bias effect, the bias voltage, the ignition bum time and high voltage diode. The method can be effectively used for continuous monitoring of other factors in the internal combustion engine.<br/>
Xiaomin Liu,Chengbin Yang,Jing Liu,Jianwei Liu,Rui Hu,Hongwei Lian,Guimiao Lin,Liwei Liu,Ken-Tye Yong,Ling Ye 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.4
The optimization of aldose reductase (AR) expression levels and tracking of the AR expression sites within the cell is an essential step in developing a platform for the effective production of aldose reductase inhibitors (ARIs). In this study, we have demonstrated the use of both immunocytochemistry and quantum dots-based immunofluorescence techniques for observing and detecting the expression level and localization of AR in the cytoplasm and cell membrane of a eukaryotic cell model with high levels of AR protein expression. Our results show that high expression levels of human AR can be achieved using the eukaryotic cell model that we have developed. The overexpressed AR can be used for translational studies of hAR and the screening of ARIs. More importantly, the use of the established quantum dots-based immunofluorescence technique in the intracellular labeling of AR allows the determination of the expression and distribution of the AR gene. Overall, the use of the interdisciplinary approach of both genetic engineering and quantum dot-based immunofluorescence allows not only the effective production of a desired protein, but also the determination of the cellular localization of such an expressed protein.