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- 저자 : ( Xiaofei Xing ) (검색결과 3 건)
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A Framework for Human Motion Segmentation Based on Multiple Information of Motion Data
( Xiaofei Zan ),( Weibin Liu ),( Weiwei Xing ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.9
With the development of films, games and animation industry, analysis and reuse of human motion capture data become more and more important. Human motion segmentation, which divides a long motion sequence into different types of fragments, is a key part of mocap-based techniques. However, most of the segmentation methods only take into account low-level physical information (motion characteristics) or high-level data information (statistical characteristics) of motion data. They cannot use the data information fully. In this paper, we propose an unsupervised framework using both low-level physical information and high-level data information of human motion data to solve the human segmentation problem. First, we introduce the algorithm of CFSFDP and optimize it to carry out initial segmentation and obtain a good result quickly. Second, we use the ACA method to perform optimized segmentation for improving the result of segmentation. The experiments demonstrate that our framework has an excellent performance.
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SERVICE RECOVER TIMING AND COMPENSATION STRATEGIES UNDER DIFFERENT INTENSITIES OF NEGATIVE EMOTIONS
Xiaofei Tang,En-Chung Chang,Xing Huang,Meng Zhang,Beixi Wen 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
The current study develops a pair model considering the intensity of negative emotions and strategic combinations of recovery means and timing under hotel service failure scenarios. The purpose of this paper is to evaluate the performances of these different combinations through customer satisfaction, repurchase intention, and fitting curves between the two under Chinese hotel service scenarios. Previous studies have found that service failures cause economic losses as well as negative emotional responses from customers (Gr?nroos, 1984; McColl Kennedy and Sparks, 2003). However, customers might display higher satisfaction and purchase intentions when proper service recovery actions are taken instead of when no service failures occur (Smith et al., 1999; McCollough et al., 2000). Concerning the means of service recovery during a service failure, customers in a negative emotional state require specific recovery solutions from the service provider; concerning the timing of service recovery, immediate recovery appears to be an effective way to address customer complaints (Kelley et al., 1993). While, previous research has partially shown that for extremely angry customers, the performance of “as soon as possible” recovery is unsatisfying and may even cause the service recovery to fail (Mattila and Ro, 2008). A 2 (recovery timing: immediate/delayed) × 2 (recovery means: psychological/economic) × 3 (type of service failure: failure in a delivery system/failure in responding to customer needs/improper employee behavior) between-subject experimental design was employed with 456 part-time MBA students in China to examine the relationship between customer satisfaction and repurchase intention under different levels of negative emotion after experienced a service failure. The results suggest that immediate and economic recovery effectively raises the service recovery evaluations from customers with low-intensity negative emotions, whereas delayed and psychological recovery helps customers with high-intensity negative emotions to give higher evaluations. This study sheds light on the role that negative emotions play in the process of service recovery and provides implications for service industry managers, that is the decisions to use economic recovery or psychological recovery are necessitate consider the intensity characteristic of negative emotions, for customers in low-intensity negative emotional states, the immediate and economic recovery strategy is effective, whereas for customers in high-intensity negative emotional states, the delayed and psychological recovery strategy may lead to better outcomes. According to these findings, it is important for managers to train front-line staff to adopt proper recovery strategies to manage service failure when facing consumers with different intensity of negative emotion.
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( Zeyu Sun ),( Yongsheng Zhang ),( Xiaofei Xing ),( Houbing Song ),( Huihui Wang ),( Yangjie Cao ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8
In the process of k-coverage of the target node, there will be a lot of data redundancy forcing the phenomenon of congestion which reduces network communication capability and coverage, and accelerates network energy consumption. Therefore, this paper proposes a novel energy balanced k-coverage control algorithm based on probability model (EBKCCA). The algorithm constructs the coverage network model by using the positional relationship between the nodes. By analyzing the network model, the coverage expected value of nodes and the minimum number of nodes in the monitoring area are given. In terms of energy consumption, this paper gives the proportion of energy conversion functions between working nodes and neighboring nodes. By using the function proportional to schedule low energy nodes, we achieve the energy balance of the whole network and optimizing network resources. The last simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but also completely inhibit the rapid energy consumption of node, and extend the network lifetime.
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