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- 저자 : Ming Hu (검색결과 285 건)
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Mingli Hu(Mingli Hu),Yeong-Gil Kim(Yeong-Gil Kim),Jungwoo Park(Jungwoo Park) The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.4
Purpose – In recent years, e-commerce live broadcasting has received attention from theoretical scholars and practical experts for its online interactive promotional capabilities. In the context of e-commerce live streaming, this article provides new ideas for exploring the logic of content marketing by exploring the paths of various dimensions of e-commerce live streaming content marketing on consumer purchase intention, and clarifying the interrelationships among the variables. Design/Methodology/Approach – Based on SOR theory, this article takes content marketing as the entry point to explore the influence mechanism of e-commerce live content marketing on consumer purchase intention from the perspective of consumers. Empirical data were obtained through questionnaires; 393 valid samples were analyzed using SPSS26 and AMOS26 tools, and research hypotheses were verified using structural equation modeling. Findings – The four dimensions of content marketing, functionality, entertainment, emotion, and interactivity can positively influence consumer purchase intention to varying degrees. Content marketing positively influences perceived value, perceived value positively influences purchase intention, and perceived value partially mediates the relationship between content marketing and purchase intention. Research Implications – This study reveals the mechanism of the influence of e-commerce live content marketing on consumer purchase intention, provides guidance for live anchors and e-commerce sellers, and, at the same time, helps consumers understand themselves and make more rational consumption decisions.
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MRI Features of Spinal Epidural Angiolipomas
Su Hu,Chun-hong Hu,Xiao-yun Hu,Xi-ming Wang,Hui Dai,Xiang-ming Fang,Lei Cui 대한영상의학회 2013 Korean Journal of Radiology Vol.14 No.5
Objective: To describe the MRI findings in ten patients of spinal epidural angiolipoma for differentiated diagnosis presurgery. Materials and Methods: Ten surgically proved cases of spinal epidural angiolipomas were retrospectively reviewed, and the lesion was classified according to the MR findings. Results: Ten tumors were located in the superior (n = 4), middle (n = 2), or inferior (n = 4) thoracic level. The mass, with the spindle shape, was located in the posterior epidural space and extended parallel to the long axis of the spine. All lesions contained a fat and vascular element. The vascular content, correlating with the presence of hypointense regions on T1-weighted imaging (T1WI) and hyperintense signals on T2-weighted imaging, had marked enhancement. However, there were no flow void signs on MR images. All tumors were divided into two types based on the MR features. In type 1 (n = 3), the mass was predominantly composed of lipomatous tissue (> 50%) and contained only a few small angiomatous regions, which had a trabeculated or mottled appear. In type 2 (n = 7), the mass, however, was predominantly composed of vascular components (> 50%), which presented as large foci in the center of the mass. Conclusion: Most spinal epidural angiolipomas exhibit hyperintensity on T1WI while the hypointense region on the noncontrast T1WI indicates to be vascular, which manifests an obvious enhancement with gadolinium administration.
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MIMO Ad Hoc Networks: Medium Access Control, Saturation Throughput, and Optimal Hop Distance
Hu, Ming,Zhang, Junshan The Korea Institute of Information and Commucation 2004 Journal of communications and networks Vol.6 No.4
In this paper, we explore the utility of recently discovered multiple-antenna techniques (namely MIMO techniques) for medium access control (MAC) design and routing in mobile ad hoc networks. Specifically, we focus on ad hoc networks where the spatial diversity technique is used to combat fading and achieve robustness in the presence of user mobility. We first examine the impact of spatial diversity on the MAC design, and devise a MIMO MAC protocol accordingly. We then develop analytical methods to characterize the corresponding saturation throughput for MIMO multi-hop networks. Building on the throughout analysis, we study the impact of MIMO MAC on routing. We characterize the optimal hop distance that minimizes the end-to-end delay in a large network. For completeness, we also study MAC design using directional antennas for the case where the channel has a strong line of sight (LOS) component. Our results show that the spatial diversity technique and the directional antenna technique can enhance the performance of mobile ad hoc networks significantly.
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Compaction techniques and construction parameters of loess as filling material
Hu, Chang-Ming,Wang, Xue-Yan,Mei, Yuan,Yuan, Yi-Li,Zhang, Shan-Shan Techno-Press 2018 Geomechanics & engineering Vol.15 No.6
Loess often causes problems when used as a filling material in the construction of foundations. Therefore, the compaction technique, shear behavior, and bearing capacity of a filled foundation should be carefully considered. A series of tests was performed in this study to obtain effective compaction techniques and construction parameters. The results indicated that loess is strongly sensitive to water. Thus, the soil moisture content should be kept within 12%-14% when it is used as a filling material. The vibrating-dynamic combination compaction technique is effective and has fewer limitations than other methods. In addition, the shear strength of the compacted loess was found to increase linearly with the degree of compaction, and the soil's compressibility decreased rapidly with an increase in the degree of compaction when the degree of compaction was less than 95%. Finally, the characteristic value of the bearing capacity increased with an increase in the degree of compaction in a ladder-type way when the degree of compaction was within 92%-95%. Based on the test data, this paper could be used as a reference in the selection of construction designs in similar engineering projects.
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Support Vector Machine Based on Type-2 Fuzzy Training Samples
Ming-hu Ha,Jia-ying Huang,Yang Yang,Chao Wang 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.1
In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.
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Hu, Ming-Dong,Xu, Jian-Cheng,Fan, Ye,Xie, Qi-Chao,Li, Qi,Zhou, Chang-Xi,Mao, Mei,Yang, Yu Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5
The presence of lung cancer cells in anoxic zones is a key cause od chemotherapeutic resistance. Thus, it is necessary to enhance the sensitivity of such lung cancer cells. However, loss of efficient gene therapeutic targeting and inefficient objective gene expression in the anoxic zone in lung cancer are dilemmas. In the present study, a eukaryotic expression plasmid pUC57-HRE-JAB1 driven by a hypoxia response elements promoter was constructed and introduced into lung cancer cell line A549. The cells were then exposed to a chemotherapeutic drug cis-diamminedichloroplatinum (C-DDP). qRT-PCR and western blotting were used to determine the mRNA and protein level and flow cytometry to examine the cell cycle and apoptosis of A549 transfected pUC57-HRE-JAB1. The results showed that JAB1 gene in the A549 was overexpressed after the transfection, cell proliferation being arrested in G1 phase and the apoptosis ratio significantly increased. Importantly, introduction of pUC57-HRE-JAB1 significantly increased the chemotherapeutic sensitivity of A549 in an anoxic environment. In conclusion, JAB1 overexpression might provide a novel strategy to overcome chemotherapeutic resistance in lung cancer.
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Novelty detection methods for online health monitoring and post data analysis of turbopumps
Hu Lei,Hu Niaoqing,Zhang Xinpeng,Gu Fengshou,Gao Ming 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.7
As novelty detection works when only normal data are available, it is of considerable promise for health monitoring in cases lacking fault samples and prior knowledge. We present two novelty detection methods for health monitoring of turbopumps in large-scale liquidpropellant rocket engines. The first method is the adaptive Gaussian threshold model. This method is designed to monitor the vibration of the turbopumps online because it has minimal computational complexity and is easy for implementation in real time. The second method is the one-class support vector machine (OCSVM) which is developed for post analysis of historical vibration signals. Via post analysis the method not only confirms the online monitoring results but also provides diagnostic results so that faults from sensors are separated from those actually from the turbopumps. Both of these two methods are validated to be efficient for health monitoring of the turbopumps.
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Forecasting Day-ahead Electricity Price Using a Hybrid Improved Approach
Hu, Jian-Ming,Wang, Jian-Zhou The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.6
Electricity price prediction plays a crucial part in making the schedule and managing the risk to the competitive electricity market participants. However, it is a difficult and challenging task owing to the characteristics of the nonlinearity, non-stationarity and uncertainty of the price series. This study proposes a hybrid improved strategy which incorporates data preprocessor components and a forecasting engine component to enhance the forecasting accuracy of the electricity price. In the developed forecasting procedure, the Seasonal Adjustment (SA) method and the Ensemble Empirical Mode Decomposition (EEMD) technique are synthesized as the data preprocessing component; the Coupled Simulated Annealing (CSA) optimization method and the Least Square Support Vector Regression (LSSVR) algorithm construct the prediction engine. The proposed hybrid approach is verified with electricity price data sampled from the power market of New South Wales in Australia. The simulation outcome manifests that the proposed hybrid approach obtains the observable improvement in the forecasting accuracy compared with other approaches, which suggests that the proposed combinational approach occupies preferable predication ability and enough precision.
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