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Search Results: 1 - 10 of 25532 matches for " Feifei Lee "
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A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm  [PDF]
Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi
Journal of Software Engineering and Applications (JSEA) , 2010, DOI: 10.4236/jsea.2010.32015
Abstract: In this paper, we present a theoretical codebook design method for VQ-based fast face recognition algorithm to im-prove recognition accuracy. Based on the systematic analysis and classification of code patterns, firstly we theoretically create a systematically organized codebook. Combined with another codebook created by Kohonen’s Self-Organizing Maps (SOM) method, an optimized codebook consisted of 2×2 codevectors for facial images is generated. Experimental results show face recognition using such a codebook is more efficient than the codebook consisted of 4×4 codevector used in conventional algorithm. The highest average recognition rate of 98.6% is obtained for 40 persons’ 400 images of publicly available face database of AT&T Laboratories Cambridge containing variations in lighting, posing, and expressions. A table look-up (TLU) method is also proposed for the speed up of the recognition processing. By applying this method in the quantization step, the total recognition processing time achieves only 28 msec, enabling real-time face recognition.
Government R & D Subsidies, Political Relations and Technological SMEs Innovation Transformation  [PDF]
Feifei Yu
iBusiness (IB) , 2013, DOI: 10.4236/ib.2013.53B022
Abstract:

This paper studies the effect of government research and development (R&D) subsidies and political relations on the innovative activities of technological small and medium-sized enterprises (SMEs). Moreover, the technology innovation path of SMEs is an important issue related to government R&D subsidies. This paper explores these effects using multiple case studies. Through case analyses of four biological pharmaceutical enterprises, we found that first, technological SMEs that receive a significant amount of government R&D subsidies will transform from exploitative innovation to explorative innovation in a short amount of time, whereas technological SMEs that receive less government R&D subsidies will perform less innovative activities over a long time. Second, technological SMEs with strong political relations tend to do more explorative innovation, whereas technological SMEs with weak political relations tend to do more exploitative innovation. Third, technological SMEs with strong political relations will promote the positive effect of government R&D subsidies on their innovation performance.

The Retailers’ Choices of Profit Strategies in a Cournot Duopoly: Relative Profit and Pure Profit  [PDF]
Feifei Zheng
Modern Economy (ME) , 2017, DOI: 10.4236/me.2017.82014
Abstract: To investigate the influence of the relative performance on retailers’ choices of profit strategies, a Cournot competition model composed of two private retailers is proposed, in which retailers are facing the problem of choosing a strategy from pure profit and relative profit. The study shows that, 1) when its competitor pursues relative profit, the retailer will adopt pure profit strategy if the degree of relative performance of its competitor is high enough. Otherwise, the retailer will adopt the relative profit strategy. 2) The more relative profit-maximizing retailers there are, the more intense market competition will be, the lower market price will decrease. 3)?Under a certain degree of relative performance, the strategy profiles (relative profit, relative profit), (relative profit, pure profit) and (pure profit, relative profit) are all likely to be Nash equilibrium, except the strategy profile (pure profit, pure profit).
Fast Search for MPEG Video Clips from Large Video Database Using Combined Histogram Features
Feifei Lee,Koji Kotani,Qiu Chen,Tadahiro Ohmi
Lecture Notes in Engineering and Computer Science , 2010,
Abstract:
A Local Search Method Using Histogram Features for Fast Retrieval of DNA Sequences
Qiu Chen,Koji Kotani,Feifei Lee,Tadahiro Ohmi
Lecture Notes in Engineering and Computer Science , 2010,
Abstract:
A FAST SEARCH METHOD FOR DNA SEQUENCE DATABASE USING HISTOGRAM INFORMATION
QIU CHEN,KOJI KOTANI,FEIFEI LEE,TADAHIRO OHMI
International Journal of Bioinformatics Research , 2011,
Abstract: DNA sequence search is a fundamental topic in bioinformatics. The Smith-Waterman algorithmachieved highest accuracy among various sequence alignment tools, but it usually spends much computationaltime to search on large DNA sequence database. On the contrary, BLAST and FASTA have improved the searchspeed by using heuristic approaches, by there is a possibility of missing an alignment or giving inaccurate output.This paper presents an efficient hierarchical method to improve the search speed while the accurate is being keptconstant. For a given query sequence, firstly, a fast histogram based method is used to scan the sequences in thedatabase. A large number of DNA sequences with low similarity will be excluded for latter searching. The Smith-Waterman algorithm is then applied to each remainder sequences. Experimental results show the proposedmethod combining histogram information and Smith-Waterman algorithm is a more efficient algorithm for DNAsequence search
A FAST LOCAL SEARCH ALGORITHM USING HISTOGRAM FEATURES FOR DNA SEQUENCE DATABASE
Qiu Chen, Koji Kotani, Feifei Lee and Tadahiro Ohmi
International Journal of Bioinformatics Research , 2012,
Abstract: DNA sequence search is a very important topic in bioinformatics algorithm development. However, this task usually spends much computational time to search on large DNA sequence database. In this paper, we propose an efficient hierarchical DNA sequence search algorithm to improve the search speed while the accuracy is being kept constant. For a given query DNA sequence, firstly, a fast local search algorithm using histogram features is used as a filtering mechanism before scanning the sequences in the database. An overlapping processing is newly added to improve the robustness of the algorithm. A large number of DNA sequences with low similarity will be excluded for latter searching. The Smith-Waterman algorithm is then applied to each remainder sequences. Experimental results using GenBank sequence data show the proposed algorithm combining histogram information and Smith-Waterman algorithm is more efficient for DNA sequence search.
The Effect of Job Autonomy on Psychological Well-Being: The Mediating Role of Personal Initiative  [PDF]
Feifei Yang, Yue Zhao
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.611017
Abstract: Employees’ psychological well-being is an important factor affecting organizational performance. Thus, through empirical study, the present article investigates the influence of employees’ job autonomy on their psychological well-being. Specifically, personal initiative will mediate this relationship. To examine a series of hypotheses we developed, online survey was used to collect data. Finally, 380 respondents were accepted. Empirical data showed that employees’ job autonomy is positively related to psychological well-being. Namely, the psychological well-being of employees will gain dramatic improvement when they possess high job autonomy. In addition, through the way of path analysis, we revealed that personal initiative plays a role of intermediary mechanism in the relationship between job autonomy and psychological well-being. In last part, we discussed the contribution, limitations, and the directions of future research.
Influence of Haze-Fog on Consumers’ Desire for Money  [PDF]
Liangmu Wu, Feifei Yang
Open Journal of Social Sciences (JSS) , 2019, DOI: 10.4236/jss.2019.71017
Abstract: With the increase of haze-fog, it seriously affects the people’s quality of life. Most studies link haze-fog to diseases, environmental issues or governance and policy. However, the relationship between haze-fog and psychology and behavior remains relatively underexplored in the psychology literature. Drawing from regulatory focus theory, this paper explores how haze-fog influences individuals’ psychological states and behavior. Specifically, we design an experiment to examine how haze-fog influences consumers’ desire for money. Results indicate that haze-fog is negatively related to consumers’ desire for money (Msunny day = 3.79, Mmoderate pollution = 3.99, Msevere pollution = 5.49, F(2,105) = 10.67, p < 0.01), and the perception of defensive psychology mediates the relationship between haze-fog and consumers’ desire for money (95% CI [0.0102, 0.7597]). This paper shows that haze-fog does not only influence our life, but also our purchasing intentions. It reveals that when haze-fog is severe, it evokes consumers’ defensive psychology, and then it decreases consumers’ desire for money. Future research can focus on the other haze-fog related consumer psychology and explore haze-fog related marketing.
A Review of White Space Research  [PDF]
Chuming Hu, Feifei Xu
Open Journal of Social Sciences (JSS) , 2019, DOI: 10.4236/jss.2019.73027
Abstract: The white space in life is everywhere. White space refers to the blank, pages, charms, etc., which are empty, unfilled or undeveloped projects and fields. In this paper, the concept, function, related research of white space are described and discussed, and the research direction and relevant marketing suggestions are put forward, in order to provide useful inspiration for further research in this field.
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