• Journal of the Institute of Convergence Signal Processing
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• v.12 no.3
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• pp.163-168
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• 2011

In this paper, we proposed non-linear gamma curve algorithm for gamma correction. The previous non-linear gamma curve algorithm is generated by the least square polynomial using the Gauss-Jordan inverse matrix. However, the previous algorithm has some weak points. When calculating coefficients using inverse matrix of higher degree, occurred truncation errors. Also, only if input sample points are existed regular interval on 10-bit scale, the least square polynomial is accurately works. To compensate weak-points, we calculated accurate coefficients of polynomial using eigenvalue and orthogonal value of mat11x from singular value decomposition (SVD) and QR decomposition of vandemond matrix. Also, we used input data part segmentation, then we performed polynomial curve fitting and merged curve fitting results. When compared the previous method and proposed method using the mean square error (MSE) and the standard deviation (STD), the proposed segmented polynomial curve fitting is highly accuracy that MSE under the least significant bit (LSB) error range is approximately $10^{-9}$ and STD is about $10^{-5}$.

• Journal of Labour Economics
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• v.26 no.1
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• pp.111-151
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• 2003

This study attempted to analize the hazard rate from unemployment and the influncing factors on the rate by regions. The data this study uses is Korea Labor Institute Panal Study(1998-2001) and the models are hazard analysis and Cox model. The results of hazard analysis are as follow. In capital and it's vicinity, the duration of unemployment is shorter than other regions even if the unemployment rate is higher. The labor market segmentation is confirmed between capital and it's vicinity region and other regions. Kyungsang region is higher in the unemployment hazard rate than Chunla or Chungchung regions. The duration of unemployment in capital and it's vicinity is 9.29 months comparing 11.86 months in the other region. The difference is statistically significant by the significance level 0.001. The duration of unemployment in Kyungsang is 6.96 months comparing 10.95 months in Chunla region. The Cox results which indicate the influncing factors on the hazard rate are as follow. In the regions like non-metro cities and non-capital and vicinitiy, the factors such as female, tenure, wage earners, manufacturing, wholesale and retale decrease the hazard rate. The results indicate that active labor market policies region by region are needed in Korea, especially for the marginal unemployed workes from non flourishing sectors.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.5
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• pp.231-240
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• 2015

Medical imagery require to protect the privacy with preserving the quality of the original contents. Therefore, reversible watermarking is a solution for this purpose. Previous researches have focused on general imagery and achieved high capacity and high quality. However, they raise a distortion over entire image and hence are not applicable to medical imagery which require to preserve the quality of the objects. In this paper, we propose a novel reversible watermarking for medical imagery, which preserve the quality of the objects and achieves high capacity. First, object and background region is segmented and then predicted error histogram-based reversible watermarking is applied for each region. For the efficient watermark embedding with small distortion in the object region, the embedding level at object region is set as low while the embedding level at background region is set as high. In experiments, the proposed algorithm is compared with the previous predicted error histogram-based algorithm in aspects of embedding capacity and perceptual quality. Results support that the proposed algorithm performs well over the previous algorithm.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.75-87
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• 2011

This paper presents a method for region-based building extraction from high resolution satellite images(HRSI) using integrated information of spectral and color invariant features without user intervention such as selecting training data sets. The purpose of this study is also to evaluate the effectiveness of the proposed method by applying to IKONOS and QuickBird images. Firstly, the image is segmented by the MSRG method. The vegetation and shadow regions are automatically detected and masked to facilitate the building extraction. Secondly, the region merging is performed for the masked image, which the integrated information of the spectral and color invariant features is used. Finally, the building regions are extracted using the shape feature for the merged regions. The boundaries of the extracted buildings are simplified using the generalization techniques to improve the completeness of the building extraction. The experimental results showed more than 80% accuracy for two study areas and the visually satisfactory results obtained. In conclusion, the proposed method has shown great potential for the building extraction from HRSI.

• Journal of the Korean Society of Radiology
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• v.12 no.3
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• pp.435-441
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• 2018

In this study, we performed to design an image guiding algorithm to improve the efficiency and safety of treatment of varicose vein by focused ultrasound. The algorithm was suggested by different guiding images according to the location of varicose veins. In the case of deep-seated varicose veins, the target area was marked on the surface of the blood vessel in the obtained cross-sectional blood vessel ultrasound image. In the case of the superficial varicose vein, A guiding system based on image segmentation algorithm of the vascular region was suggested and designed two different algorithms according to varicose veins progression degree. as a results, the algorithm based on ultrasound image show a small error with $830{\mu}m$ at maximum. However, the algorithm based on charge coupled device image has a maximum error of 8.3 mm in some data. Therefore, it is expected that additional study is needed for superficial varicose vein image guiding algorithm, and it is expected that the accuracy of blood vessel tracking should be evaluated by constructing simple system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3490-3498
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• 2014

This study examined the relationship among service quality perceived by consumers according to the types of driving ranges(I: indoor and outdoor), market segmentation, the reason for choice of the driving range, customer satisfaction and loyalty and analyze their causal relationship. To reach this goal, this study conducted a questionnaire research for consumers of driving ranges by dividing it into the indoor and outdoor ranges. The quest-factor analysis(SPSSWIN Ver 13.0), the confirmatory factor analysis and the structural equation modeling method (AMOS 6.0) were used to analyze the data collected for this study. Based on the findings of this study, the following conclusions were drawn: The reason for the choice in both indoor driving and outdoor driving had no direct influence on the customer loyalty, but it had an indirect influence on the customer loyalty through customer satisfaction and service expectation. In addition, the service expectation had a direct influence on the customer loyalty in both indoor driving and outdoor driving. Therefore, the customer satisfaction in both indoor driving and outdoor driving serve as a significant mediating variable to reinforce the relationship between the service quality and customer loyalty.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.461-470
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• 2005

This paper suggests a new policy for consolidating a company's profits by segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM, which is mainly applied to marketing. In this case, CRM refers to the strategy of consolidating a company's profits by efficiently managing the clients, providing them with a more effective, personalized service, and managing the resources more effectively. For the realization of a new service policy, this paper analyzes the level of contribution $vis-\acute{a}-vis$ the clients' service pattern (total number of visits to the homepage, service type, service usage period, total payment, average service period, service charge per homepage visit) and profits through the cluster analysis of clients' data applying the K-Means Method. Clients were grouped into 4 clusters according to the contribution level in terms of profits. Likewise, the CRFA (Client Request Filtering algorithm) was suggested per cluster to allocate media server resources. CRFA issues approval within the resource limit of the cluster where the client belongs. In addition, to evaluate the efficiency of CRFA within the Client/Server environment the acceptance rate per class was determined, and an evaluation experiment on network traffic was conducted before and after applying CRFA. The results of the experiments showed that the application of CRFA led to the decrease in network expenses and growth of the acceptance rate of clients belonging to the cluster as well as the significant increase in the profits of the company.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.59-73
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• 2011

The purpose of this study is to establish a marketing strategy for the makgeolli manufacturing industry. We fractionized cousumer types depending on motives for purchase of customers who had bought makeolli or drunk it for the last six months. We also examined the relationship between makgeolli selection attributes and customer satisfaction by the cousumer types. SPSS 15.0 statistical package was used to process data. Frequency analysis, factor analysis, a reliability test, K-means cluster analysis, one-way ANOVA, and multiple regression were executed. As a result, the motives to purchase and drink were divided into four factors - marketing, effect on health, self-desires, outside environment; consumers into three types - dependent type, loving type, indifferent type; makgeolli selection attributes into five factors - health characteristics, visual elements, brand characteristics, drinking characteristics, purchase characteristics. It was shown that the makgeolli loving type considered all the makgeolli selection attributes as most important; the dependent type considered the health characteristics and visual elements as less important than the loving type did. The indifferent type considered all the makgeolli selection attributes as less important compared with the other types. Among the makgeolli selection attributes, drinking characteristics and the purchase characteristics had effects on customer satisfaction.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.1
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• pp.103-116
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• 2004

The goal of this study was to get the basic data for the domestic cosmetic industry, through analyzing female college ,students’ responses to cosmetic care of hair and their behavior, and their preference for hair cosmetics and brands. In their level of understanding and concern of hair cosmetic care, as well as their general knowledge, ‘dyed or decolorized hair’ types had the highest response rate at 49％, followed by ‘permanent wave’ type at 39％. Thus they were very interested in hairdressing-related operations, and even they made an attempt to do it directly. In the ways and management for dealing with harmful side effects caused by dyeing, decolorizing, or permanent, 74.7％ of the respondents experienced adverse effects, as well as having complaints, after permanent wave. Of the complaints 245 students experienced, ‘hair damage’ was the highest rate of 42.4％, followed by ‘unsatisfied with hair style’ at 19.8％. From the above results, female college students showed a various interest in hair cosmetic care; however, they had little knowledge in this regard. Accordingly, it is necessary to educate them for the segmentation of hair cosmetics and the appropriate hair care, to meet their diversified cosmetic needs which becomes diversified, and to offer them the correct information of hair beauty.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.681-691
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• 2014

Ranking-based conjoint analysis(RBCA) and choice-based conjoint analysis(CBCA) have attracted significant interest in various fields such as marketing research. When conducting research, the researcher has to select one suitable approach in consideration of strengths and weaknesses. This article performs an empirical comparison of the predictability of RBCA and CBCA in order to provide criterion for the selection. A new concept of measurement set is developed by combining the ranking set and choice set. The measurement set enables us to apply two approaches separately on the same consumer group that allows a fair comparison of predictability. RBCA and CBCA are conducted on consumer preferences for RTD-coffee; subsequently, the predicted values of market shares and hit rates are compared. The study result reveals that their predictabilities are not significantly different. Further, the result indicates that RBCA is recommended if the researcher wants to improve data quality by filtering out poor responses or to implement the market segmentation. In contrast, CBCA is recommended if the researcher wants to lessen the burden on the respondents or to measure preferences under similar conditions with the actual marketplace.