• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.943-957
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• 2004

The purpose of this study is to 1) understand the importance of brands, which are known as one of the key purchasing points to consumers today; 2) 10 clearly clarify the various attributes of goods well-known to consumers; 3) to research the effect of the goods attributes on brand attitude. We examined 465 consumers to understand a purchase or a shopping habit with national and non-brand. The study used SPSS 11.0 package for a data analysis. Then using varimax rotation, we employed a factor analysis to analyze the data and obtain Cronbach ${\alpha}$ value. For more specific data analysis, we conducted t-test, regression analysis, and x2 analysis. The results are as followings: 1. The goods attribute is classified into product attribute, shop attribute, and price attribute. The product attribute is divided into wearability, labeling of size and quality, aesthetic expression, brand expression-harmony, textile-suitability, manageability and product assortment. The shop attribute is into shop environment, shopping convenience, promotion, salesperson service, convenience of location, shop's reputation. The price attribute is into price reasonability, price value, price economy, and price information. 2. The product attribute is different, by national and non-brands, in wearability, labeling of size and quality, brand expression-harmony, textile-suitability, manageability. The shop attribute had a significant difference in environment of shop and its reputation, and the price attribute had one only in price economy. 3. The brand attitude was affected by wearability, aesthetic expression, shop environment, price value, and price information. 4. Also, there exists a difference by demographic variables(age, job, academic background, marriage, income level) in brand attitude. For example, national brands have its consumers with the following variables: higher education, higher income, professional job, over 20s, and married.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.3
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• pp.23-29
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• 2019

Conventional crack detection methods have a problem of consuming a lot of labor, time and cost. To solve these problems, an automatic detection system is needed to detect cracks in images obtained by using vehicles or UAVs(unmanned aerial vehicles). In this paper, we have studied road crack detection with unmanned aerial photographs. Aerial images are generated through preprocessing and labeling to generate morphological information data sets of cracks. The generated data set was applied to the mask R-CNN model to obtain a new model in which various crack information was learned. Experimental results show that the cracks in the proposed aerial image were detected with an accuracy of 73.5% and some of them were predicted in a certain type of crack region.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.2
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• pp.300-311
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• 2014

Purpose: This study was conducted to identify influence of emotional awareness, ambivalence over emotional expressiveness and emotional regulation style on nursing student adjustment. Method: One hundred and sixty nine nursing students completed the questionnaires from May to June, 2013. Data analysis was done using descriptive statistics, independent t-test, ANOVA, Pearson correlation coefficient, and multiple regression with SAS v 9.3. Results: Ambivalence over positive emotional expressiveness, motivation of application for nursing-aptitude, emotional awareness-mood labeling, avoidant/distractive style of emotion regulation, and parents-both alive were identified as factors influencing nursing student adjustment. The model explained 37% of variance in nursing student adjustment. Conclusion: The results of this study suggest that programs for promoting mood labeling and reducing ambivalence over positive emotional expressiveness and avoidant/distractive style of emotion regulation are important for college adjustment in nursing students. In addition, aptitude test for nursing applicants can be considered.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.3 no.2
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• pp.54-58
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• 2017

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS) is one of the powerful methods that enable analysis of small molecules as well as large molecules up to about 500,000 Da without severe fragmentation. MALDI-TOF MS, thus, has been a very useful an analytical tool for the confirmation of synthetic molecules, probing PTMs, and identifying structures of a given protein. In recent nuclear medicine, MALDI-TOF MS liner ion mode helps researcher calculate the average number of chelator(or linkage) per an antibody conjugate, such as DOTA-(or DFO-) trastuzumab for labeling a medical radioisotope. This simple technique can be utilized to improve the labeling method and control the quality at the development of antibody-based radiopharmaceuticals, which is very effected to diagnosis and therapy for in vivo tumor cells, with radioisotopes like $^{89}Zr$, $^{64}Cu$, and 177Lu. To minimize the error, MALDI-TOF MS measurement is repeatedly performed for each sample in this study, and external calibration is carried out after data collection.

• The Korean Journal of Community Living Science
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• v.20 no.1
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• pp.51-59
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• 2009

This study was performed to investigate the effect of food and nutrition label education on the perception and utilization of nutrition labels on food packaging, and to suggest the importance and necessity of food and nutrition label education in the school curriculum. 811 junior-high school students participated in this study and completed self-administered questionnaires regarding general characteristics, and the perception and utilization of nutrition labels. Knowledge of nutrition labels was tested by 13 questions on the questionnaire. Data was analyzed (using SAS package program) based on the educational experience with nutrition labels. Significant differences in each variable were tested using the $X^2$-test and t-test. Students who had learned about the food and nutrition labeling system had more knowledge of nutrition labels and were more likely to check the nutrition label before purchasing food. In addition, students who had been educated about food and nutrition labels in the school curriculum had a significantly higher understanding and recognition of the nutrition label system. These results suggest that education concerning the food and nutrition label system increased the students' interest in nutrition labels and helped them choose healthy food. Therefore, it is necessary to include an education program about food and nutrition labels in the school curriculum to help students use label information and make healthy dietary choices.

• Toxicological Research
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• v.17
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• pp.185-188
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• 2001

Genetically modified foods and food additives are derived from organisms that have been inserted foreign genetic materials by recombinant DNA techniques to improve the quality or any other pur-poses. The problems such as toxicity, allergenicity and antibiotics resistance in the safety of genetically modified foods are usually concerned. In Korea, the safety of foods is ensured by the Food Sanitation Act. Although there is no specific provision regarding the genetically modified foods in it, any foods that might cause negative effect(s) on public health or human life are prohibited to sell in the market. In order to systematically evaluate safety of genetically modified foods, the Korea Food and Drug Administration (KFDA) promulgated "Guidelines regarding review of safety assessment data for genetically modified foods and food additives (KFDA Notification 1999-46)". The objectives of these guidelines are to ensure safety of genetically modified foods and food additives. In order to evaluate the safety of genetically modified foods. KFDA operates a special expert committee composed by experts from government, universities, research institutes. and consumer's unions. Recently. manufacturers and consumers are interested in the issues on safety and labeling of genetically modified foods, because of increment of imported genetically modified crops and processed foods. Since government and consumers unions have different viewpoints, their positions regarding the issue are different each other. Therefore, the regulation of labeling on genetically modified foods is prepared and should be enforced at July 2000 in Korea. in Korea.

• Journal of Korea Multimedia Society
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• v.3 no.5
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• pp.454-460
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• 2000

To retrieve complex data such as images, the content-based retrieval method rather than keyword based method is required. In this paper, we implemented a content-based image retrieval system which retrieves object of user query effectively using invariant moments which have invariant properties about linear transformation like position transition, rotation and scaling. To extract the shape feature of objects in an image, we propose a labeling algorithm that extracts objects from an image and apply invariant moments to each object. Hashing method is also applied to reduce a retrieval time and index images effectively. The experimental results demonstrate the high retrieval efficiency i.e precision 85%, recall 23%. Consequently, our retrieval system shows better performance than the conventional system that cannot express the shale of objects exactly.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.36 no.1
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• pp.49-60
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• 2004

Life Cycle Assessment for the pulp, which is mainly used as the raw material of fine paper, base paper for food packaging and paper cup, has been carried out in this study to consider environmental aspects by quantifying the environmental emission and to evaluate its environmental impact potential. The system boundary was selected from cradle to gate stage(raw material acquisition, transportation of raw material and product manufacturing) of the product. Environmental impact was divided into 8 categories considering Korean situation: abiotic resource depletion, global warming, ozone depletion, acidification, eutrophication, photochemical oxidant creation, ecotoxicity and human toxicity. In Life Cycle Impact Assessment(LCIA) methodology phase, Ecopoint, Eco-indicator 95 and Korean eco-indicator were used and the results carried out by each methodology were compared. The results from this study were also compared with those of foreign study to verify the reliability of the results. The results of the study could be utilized as the basic data for Environmental Management System(EMS), Design for Environment(DfE) and Type III eco-labeling in the paper and paper-related industry.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.5
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• pp.35-49
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• 2014

This paper proposes the on-road object detection and classification algorithm by using a detection system consisting of only laser scanners. Each sensor data acquired by the laser scanner is fused with a grid map and the measurement error and spot spaces are corrected using a labeling method and dilation operation. Fuzzy method which uses the object information (length, width) as input parameters can classify the objects such as a pedestrian, bicycle and vehicle. In this way, the accuracy of the detection system is increased. Through experiments for some scenarios in the real road environment, the performance of the proposed detection and classification system for the actual objects is demonstrated through the comparison with the actual information acquired by GPS-RTK.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.473-480
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• 2014

As the use of computer has been popularized these days, an active research is in progress to make much more convenient and natural interface compared to the existing user interfaces such as keyboard or mouse. For this reason, there is an increasing interest toward Microsoft's motion sensing module called Kinect, which can perform hand motions and speech recognition system in order to realize communication between people. Kinect uses its built-in sensor to recognize the main joint movements and depth of the body. It can also provide a simple speech recognition through the built-in microphone. In this paper, the goal is to use Kinect's depth value data, skeleton tracking and labeling algorithm to recognize information about the extraction and movement of hand, and replace the role of existing peripherals using a virtual mouse, a virtual keyboard, and a speech recognition.