• 한국도서관정보학회지
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• 제34권1호
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• pp.111-129
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• 2003

도서관은 다양하고 이질적인 고객의 요구에 대응할 수 있는 체제가 필요한 시점이다 시장세분화를 통하여 고객요구와 이용행태를 파악하고, 목표시장을 선정하여 그에 적합한 마케팅 전략 수립이 효율적이다. 본 연구는 도서관 마케팅의 필요성과 인터넷 마케팅의 도입과 활용방안을 고찰하고, 시장세분화 전략방안을 제시하였다.

• Journal of Multimedia Information System
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• 제5권4호
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• pp.221-228
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• 2018

Skin-color information is not sufficient for palmprint segmentation in complex scenes, including mobile environments. Traditional active shape model (ASM) combines gray information and shape information, but its performance is not good in complex scenes. An improved ASM method is developed for palmprint segmentation, in which Perux method normalizes the shape of the palm. Then the shape model of the palm is calculated with principal component analysis. Finally, the color likelihood degree is used to replace the gray information for target fitting. The improved ASM method reduces the complexity, while improves the accuracy and robustness.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.808-813
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• 2022

This study presents the problems of data imbalance, varying difficulties across target objects, and small objects in construction object segmentation for far-field monitoring and utilize compound loss functions to address it. Construction site scenes of assembling scaffolds were analyzed to test the effectiveness of compound loss functions for five construction object classes---workers, hardhats, harnesses, straps, hooks. The challenging problem was mitigated by employing a focal and Jaccard loss terms in the original loss function of LinkNet segmentation model. The findings indicates the importance of the loss function design for model performance on construction site scenes for far-field monitoring.

• 아태비즈니스연구
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• 제14권2호
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• pp.153-165
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• 2023

Purpose - The purpose of this study is to derive sub-group of Chinese residents to Harbin International Ice and Snow Festival through market segmentation and to identify their characteristics of each group. Design/methodology/approach - The survey was conducted with a total of 405 Chinese residents, and empirical analysis was conducted using SPSS program. Findings - As a result of the analysis, four factors were derived. Based on the factors, four sub-markets were derived by conducting cluster analysis for market segmentation. Market strategies for each sub-group were discussed based on significant differences between clusters according to demographic characteristics. Research implications or Originality - The results of this study contribute to find out potential target market of Chinese residents, and to provide data for better positing of Harbin International Ice and Snow Festival.

• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.322-328
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• 2023

The number of senior citizens with large bowel obstruction is steadily growing in Korea. Plain radiography was used to examine the severity and treatment of this phenomenon. To avoid examiner subjectivity in radiography readings, we propose an automatic segmentation method to identify fluid-filled areas indicative of large bowel obstruction. Our proposed method applies the Hough transform to locate suspicious areas successfully and applies the possibilistic fuzzy c-means unsupervised learning algorithm to form the target area in a noisy environment. In an experiment with 104 real-world large-bowel obstruction radiographs, the proposed method successfully identified all suspicious areas in 73 of 104 input images and partially identified the target area in another 21 images. Additionally, the proposed method shows a true-positive rate of over 91% and false-positive rate of less than 3% for pixel-level area formation. These performance evaluation statistics are significantly better than those of the possibilistic c-means and fuzzy c-means-based strategies; thus, this hybrid strategy of automatic segmentation of large bowel suspicious areas is successful and might be feasible for real-world use.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1987년도 춘계학술발표회 논문집
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• pp.42-45
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• 1987

In this paper a target tracking algorithm of the centroid extraction from moving edges is proposed, It aims to avoid the difficulty of imahe segmentation in case of the centroid extraction from one frame. The performance of the proposed algorithmfor noisy and occluded images is discussed Finally it is also applied to a real time target tracker.

• IEIE Transactions on Smart Processing and Computing
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• 제2권6호
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• pp.332-338
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• 2013

We propose a method for target detection in Infrared images. In order to effectively detect a target region from an image with noises and clutters, spatial information of the target is first considered by analyzing pixel distributions of projections in horizontal and vertical directions. These distributions are represented as Gaussian distributions, and Gaussian Mixture Model is created from these distributions in order to find thresholding points of the target region. Through analyzing the calculated Gaussian Mixture Model, the target region is detected by eliminating various backgrounds such as noises and clutters. This is performed by using a novel thresholding method which can effectively detect the target region. As experimental results, the proposed method has achieved better performance than existing methods.

• 한국패션뷰티학회지
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• 제3권1호
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• pp.20-28
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• 2005

As the size and the diversity of the beauty industry grow, the need for systematic marketing strategy in beauty shop also increases. This study aims at finding 1)how to segment the market of beauty industry based on lifestyle variable and 2)how to set up the corresponding mix strategy on target market. The case of 'B beauty shop' shows that the validity of lifestyle-based segementation model is verified as the shop has posted a drastic financial outcome during last 5 years. In addition, this study implies that the corelation research between lifestyle variables and marketing mix strategy should be included as an important factor in launching a beauty-related business in segmented market.

• 디지털산업정보학회논문지
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• 제4권1호
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• pp.25-31
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• 2008

In this paper, we propose a new method that separates background and foreground from stereo images. This method can be improved automatic target tracking system by using disparity map of the stereo vision system and background-separating mask, which can be obtained camera configuration parameters. We use disparity map and camera configuration parameters to separate object from background. Disparity map is made with block matching algorithm from stereo images. A morphology filter is used to compensate disparity error that can be caused by occlusion area. We could obtain a separated object from background when the proposed method was applied to real stereo cameras system.

• 대한전자공학회논문지
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• 제24권3호
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• pp.504-509
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• 1987

In this paper a characteristics of image which can be segmented based on the thresholding technique using a histogram was investigated employing 3 parameters: the variance of pixel value, the average mean difference between target and background and the target size. The threshold value for the histogram segmentation was determined by applying the hypothesis testing theory. The performance of the selected threshold was evaluated by computing a probability of error. Since a priori probability can be easily obtained from the histogram, it was found that the Bayes decision rule which theoretically guarantees the minimum probability of error works better than the minimax criterion rule.