• Journal of the Korean Society for Precision Engineering
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• v.10 no.4
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• pp.248-254
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• 1993

This paper proposes the labeling method for solving bin-picking problem in robot vision. It has the processing steps such as image thresholding, region labeling, and moment computation. To determine a target object from object, the modified labeling method is used to. The moment concept applied to determine the position and orientation of target object. Finally, some experiment result are illustrated and compared with the results of conventional shrinking algorithm and collision fronts algorithm. The proposed labeling method has reduced processing time.

• Journal of the East Asian Society of Dietary Life
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• v.14 no.1
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• pp.54-63
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• 2004

This study was accomplished to investigate the recognition and the using practices about food-nutrition labeling system of 20's consumers. Two hundred and fifty-four man and women were examined using the questionnaire. The results were as follows. 1. The degree of recognition of subjects about food-nutrition labeling system was low (43.3％) and the using practices were even lower (18.1％). 2. The items considered as important were in the order of shelf life, manufactured date and cost. 3. The confidence score to the food-nutrition labeling system of consumers was 3.2 and was higher in the females compared to males. 4. The preferred method of food-nutrition labeling was in the order of picture and graphic type method, table type method and descriptive type method. 5. The expected effects of the current food-nutrition labeling system were easy to select foods for the prevention of the adult diseases and diet therapy. From these results, we might propose the conclusion as follows: Food-nutrition labeling system might be a good source of nutrition information and the consumers'demand for disease-prevention and dietary purpose. Therefore, the agencies concerned should make an every effort for the successful implementation of food-nutrition labeling system.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.111-118
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• 2023

In the ever-changing landscape of finance, the fusion of artificial intelligence (AI)and pair trading strategies has captured the interest of investors and institutions alike. In the context of supervised machine learning, crafting precise and accurate labels is crucial, as it remains a top priority to empower AI models to surpass traditional pair trading methods. However, prevailing labeling techniques in the financial sector predominantly concentrate on individual assets, posing a challenge in aligning with pair trading strategies. To address this issue, we propose an inventive approach that melds the Triple Barrier Labeling technique with pair trading, optimizing the resultant labels through genetic algorithms. Rigorous backtesting on cryptocurrency datasets illustrates that our proposed labeling method excels over traditional pair trading methods and corresponding buy-and-hold strategies in both profitability and risk control. This pioneering method offers a novel perspective on trading strategies and risk management within the financial domain, laying a robust groundwork for further enhancing the precision and reliability of pair trading strategies utilizing AI models.

• The Korean Journal of Nuclear Medicine Technology
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• v.14 no.1
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• pp.90-93
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• 2010

Purpose: In our nuclear medicine department, we suggested AMC RBC labeling method improved by modifying a part of existing modified in-vitro method to raise the efficiency of $^{99m}Tc$-RBC labeling. However, it needs to be more additional time and efforts than existing modified in-vitro method because the AMC RBC labeling method has to carry out the centrifugal separation process for 3~5 minutes. Therefore, in this study, we conducted researches to aim to maintain stable labeling effects and supplement a problem about additional time by reducing rotating time when labeling $^{99m}Tc$-RBC. Materials and Methods: This research has been conducted the object of 30 patients who examined study using $^{99m}Tc$-RBC and agreed to this research at our hospital from May 2009 to September 2009. We made 4 blood samples which consisted of ACD 1 cc along with 5 cc blood from each patient and used the AMC RBC labeling method. At this moment, each labeling efficiency was calculated by different rotating time 5 min, 10 min, 15 min, and 20 min and then we compared differences. Results: As a result, When comparing the $^{99m}Tc$-RBC labeling method efficiency by using the AMC RBC labeling method which differents from rotating time, each labeling efficiency were $92.3{\pm}5.0%$ in 5 min, $95.9{\pm}5.0%$ in 10 min, $97.4{\pm}4.9%$ in 15 min and $97.7{\pm}4.8%$ in 20 min. We analyzed differences of the labeling efficiency from change of rotating time by using an one-way ANOVA and verified that in Duncan method. There was relatively efficiency low in 5min rotating time and no statistically significant change in over. Conclusions: When comparing a existing method, the AMC RBC labeling method which goes through the centrifugal separation process again offers more favorable condition to combine RBC with $^{99m}TcO4^-$ by eliminating an plasma ingredient. When using the modified in-vitro method, we have almost 20 min to rotate to acquire stable labeling efficiency. But, when using the AMC RBC labeling method, we acquire labeling efficiency well what we want within only 10 min to rotate. Decrease of rotating time can complement the AMC RBC labeling method which goes through the centrifugal separation process again and also provide more rapid study such as G-I bleeding study due to fast labeling.

• Journal of the Korean Dietetic Association
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• v.24 no.2
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• pp.181-190
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• 2018

The purpose of this study was to suggest strategies for effective food allergen labeling in order to prevent food allergies in school meal service. Food allergy experience, eating behavior, and perceptions of food allergen labeling in school meal service were surveyed and compared according to the food allergy experiences of middle school girls in Incheon. Seventy-eight students (17% of total subjects) experienced food allergies. For eating behaviors, students with food allergy experience had significantly higher scores for using nutritional knowledge in their life than inexperienced subjects. For the perception of food allergen labeling in school meal service, girls who had experienced food allergies more often checked labeling of school meals for allergenic foods than those who had no experience of food allergies (P<0.001). The most desirable method for displaying allergenic foods was an indication of the allergenic food name among students who had experienced food allergies and allergenic food number of the current method for students who had not experienced food allergies (P<0.001). Students who had not experienced food allergies showed significantly lower interest in food allergen labeling than subjects who had experienced food allergies (P<0.001). For the importance score of information items in nutrition labeling, allergenic food score was significantly higher in students who had experienced food allergies (3.9 vs. 3.4 points, P<0.001). These results indicate that students who have experienced food allergies are more interested in food allergen labeling of school meals and that they are more aware. Efforts to improve labeling method such as directly labeling allergenic food name and a more visible indication are required for efficient utilization of food allergen labeling in school meal service.

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.922-928
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• 2004

We propose a new 3 dimensional labeling method based on slice information for the volume data. This method is named SIL (Slice Information based Labeling). Compare to the conventional algorithms, it has advantages that the use of memory is efficient and it Is possible to combine with a variety of 2 dimensional labeling algorithms for finding an appropriate labeling algorithm to its application. In this study, we applied SIL to confocal microscopy images of cervix cancer cell and compared the results of labeling. According to the measurement, we found that the speed of Sd combined with, CCCL (Contour based Connected Component Labeling) is almost 2 times higher than that of other methods. In conclusion, considering that the performance of labeling depends on a kind of image, we obtained that the proposed method provide better result for the confocal microscopy cell volume data.

• Korean Journal of Remote Sensing
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• v.5 no.2
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• pp.85-90
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• 1989

A new graph-theoretic clustering method based on relaxation labeling is proposed. More accurate classification is achieved by using relaxation labeling which take advantage of contextual information. Moreover, threshold selection is not needed in this method.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.259-266
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• 2013

Binary connected-components labeling, which is widely used in the field of the pattern recognition, has been researched for a long time as one of the basic image processing techniques. Two-scan algorithm has been mainly used in the researches of the connected-components labeling. Recently, for the first scan in the two-scan algorithm, block-based labeling approaches have been used and reported as the fastest methods. In this paper, a new efficient scan mask for connected-components labeling with a block-based labeling approach is proposed. Labeling with the new pixel-based scan mask is more efficient than any other existing method. The results of the experiments show that the proposed method is faster than the existing fastest method.

• Journal of IKEEE
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• v.18 no.2
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• pp.234-239
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• 2014

This paper proposes a new automatic detection method to inspect mura defects on display film surface using morphological image processing and labeling. This automatic detection method for mura defects on display films comprises 3 phases of preprocessing with morphological image processing, Gabor filtering, and labeling. Since distorted results could be obtained with the presence of non-uniform illumination, preprocessing step reduces illumination components using morphological image processing. In Gabor filtering, mura images are created with binary coded mura components using Gabor filters. Subsequently, labeling is a final phase of finding the mura defect area using the difference between large mura defects and values in the periphery. To evaluate the accuracy of the proposed detection method, detection rate was assessed by applying the method in 200 display film samples. As a result, the detection rate was high at about 95.5%. Moreover, the study was able to acquire reliable results using the Semu index for luminance mura in image quality inspection.

• Journal of the Korean Society of Food Science and Nutrition
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• v.27 no.4
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• pp.765-774
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• 1998

This purpose of this study was to contribute to the establishment of nutriton labeling and consumer education about food label by offereing basic information. Survey was carried out by questionnaire method. Subject groups were middle and high school female teachers and they were asked questions about their utilization and satisfaction of the current food labeling system, their awareness of the nutrition labeling and its necessity, and their acceptance of the future enforcement of nutrition labeling system. Questionnaires were distributed to 500 middle school female teachers in Chungbuk and Kyoggi area. Out of 340 reports(68%) collected, 311 reports(91.5%) were analyzed using SAS computer program. Most of the respondents payed much attention to the labels of the food at the time of purchase, the degree of their satisfaction in the current food labeling system was low. Concerning the awareness on nutrition labeling, Home Economics teachers knew better than non-Home Economics whether there were the regulations of nutrition labeling in Korea or not. Ninety-six percent of respondents answered that nutrition labeling is necessary. Home Economics teachers recognized the necessity of nutrition labeling more strongly than non-Home Economics teachers. Sixty eight percent of the respondents showed positive attitude to the actuation of nutrition labeling.