• Korean Journal of Human Ecology
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• v.5 no.1
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• pp.43-53
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• 1996

The purpose of this study was to investigate the actual condition of fashion sales related persons and analyze their different role recognition in women's Ready-To-Wear shops. A questionnaire was administered to 378 fashion sales related persons in department stores and individual shops. Data were analyzed by using crosstabs, $X^2$, t-test, Scheffe's test and ANOVA by using of SPSS PC program. The results of this study were as follows: 1. In the role of fashion salespersons, managers participated highly in the merchandise buying plan, actual merchandise buying and advertisement, and shopmasters participated in the management of salespersons and keeping good relation with customers and display. 2. There was significant difference according to the existence of shopmasters in sales promotion. Shops with shopmasters had regular sales and filed up customer cards. 3. Shopmasters and salespersons attached importance to fashion information, market information, sales result information, and managers attached importance to customer information, enterprise environment information in utilizing of informations. Managers considered customer survey very important but shopmasters and salespersons did not. Shopmasters, managers, and salespersons all attached importance to customers' preference survey as customers' information source. 4. There were significant differences in lifestyle survey, buying method survey, preference survey, street fashion survey, brand identity survey and advertizement effect survey of customers by the different roles of fashion salespersons. 5. There were significant differences in the degree of merchandise knowledge, service and after service in sales service recognition by the different roles of fashion salespersons.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.2
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• pp.205-210
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• 2014

Recently, pattern recognition methods have been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov models (HMMs) and artificial neural networks (ANNs) have recently been used as pattern recognition methods in various fields. In this study, a HMM-ANN hybrid method for the fault diagnosis of a mechanical system is introduced, and a rotating wind turbine blade with a crack is selected for fault diagnosis. The existence, location, and depth of said crack are identified in this research. For improving the diagnostic accuracy of the method in spite of the presence of noise, a moment with a few specific frequencies is applied to the structure.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.479-490
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• 2013

In this research we surveyed level of textual recognition and of practice by nursing students regarding patient privacy protection. The subjects were 383 nursing students. The questionnaire developed by Lee and Park (2005) were modified and used. Data analysis was conducted through descriptive statistics, t-test, ANOVA, and Pearson correlation coefficients. The result shows that about 96.1% of the subjects received education on patient privacy protection in school or hospital but 48.0% of all received education of 10 minutes or less. Average score for recognition of patient privacy protection was a 4.13 but average practice score was 3.84. Among all areas, communication tasks showed the highest scores for both recognition and practice. There are differences according to grade in school and age of the subject, and experience with clinical practice, existence of regular educational program embedded in clinical practice at hospitals, and the length of each educational session. For both total score and score for every domain, there was a correlation between recognition and practice. The conclusions drawn from this research will help colleges of nursing and hospitals to design and develop contents of educational programs for nursing students.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.2
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• pp.87-92
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• 2006

This paper supplements shortcoming of radioactivity check by detecting defect of SWP weld zone using ultrasonic wave. Manufacture 2 stage robot detection systems that can follow weld bead of SWP by method to detect weld defects of SWP that shape of weld bead is complex for this as quantitative. Also, through signal processing ultrasonic wave defect signal system of GUI environment that can grasp easily existence availability of defect because do videotex compose. Ultrasonic wave signal of weld defects develops artificial intelligence style sightseeing system to enhance pattern recognition of weld defects and the classification rate using neural net. Classification of weld defects that do fan Planar defect and that do volume defect of by classify.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.135-136
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• 2017

When driving at night time environment, the whole body of transports does not visible to us. Due to lack of light conditions, there are only two options, which is clearly visible their taillights and break lights. To improve the recognition correctness of vehicle detection, we present an approach to vehicle detection and tracking using finding contour of the object on binary image at night time. Bilateral filtering is used to make more clearly on threshold part. To remove unexpected small noises used morphological opening. In verification stage, paired tail lights are tracked during their existence in the ROI. The accuracy of the test results for vehicle detection is about 93%.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.221-232
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• 2021

In recent years, with the existence of huge amounts of data stored in huge databases, the need for developing accurate tools for analyzing data and extracting information and knowledge from the huge and multi-source databases have been increased. Hence, new and modern techniques have emerged that will contribute to the development of all other sciences. Knowledge discovery techniques are among these technologies, one popular technique of knowledge discovery techniques is data mining which aims to knowledge discovery from huge amounts of data. Such modern technologies of knowledge discovery will contribute to the development of all other fields. Data mining is important, interesting technique, and has many different and varied algorithms; Therefore, this paper aims to present overview of data mining, and clarify the most important of those algorithms and their uses.

• The Research Journal of the Costume Culture
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• v.6 no.1
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• pp.121-135
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• 1998

This study discusses the concept on environment-friendly textile products, environmentally oriented processes of fiber and fabric production, and case reports of environments-friendly products. This study may inspire recognition and necessity of environment-friendly textile products to textile industry and designers ,and also develop the consideration of environmental aspects in the field of textile design and fashion design. Environment-friendly textile products mean not only natural products but also the products reduced the environmentally harmful consequences of their production processes. Because the textile production processes may cause environmental problem. the processes of bleaching, dyeing, mercerising, proofing, and establishing must be carefully controlled. These environment-friendly textile products in this study are divided into development of environment-friendly textile products, recycled textile products, products which are produced by environmentally oriented processes, and recycling capacity in the process of the coming into use. If the textile industrialists and its designers are continuously interested in those environment-friendly products, the textile industrialists produce environment-friendly products in manufacturing process, and the textile and the fashion designers design their products having the conciousness of environment. They reduce environmental pollution caused by producing textile products and are survived in the struggle of existence of the future world trade market.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.126-132
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.31-32
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• 2006

We describe the preparation of nanostructured molecularly-imprinted surfaces using nanomolding on porous alumina. In molecular imprinting functional and cross-linking monomers are copolymerized in the presence of a molecular template, resulting in synthetic receptor materials. The drug propranolol and the dye fluorescein were used as the molecular imprinting templates. Binding studies with imprinted and non-imprinted surfaces revealed specific recognition of the templates and thus the existence of selective binding sites. In addition, the surface properties of the films were studied by water contact angle measurements. It was found that, depending on the monomers used, certain nanostructures induced great changes in the wetting properties of the surface.

• Korean Journal of Child Studies
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• v.25 no.4
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• pp.71-92
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• 2004

The purpose of this ethnographic study was to observe and understand interactions of toddlers and teachers in context. Specific questions were "What are the motives and features of the interactions between toddlers and teacher?" Subjects were twenty 2-year-old daycare children and their teachers. Methods covered 11 weeks of interviews and participatory observation. The major findings were that the interactions between toddlers and teachers was mainly initiated by toddlers and consist of physiological and emotional needs, conflict mediation and participation in play. As toddler get to the age of self-recognition but still need adult's assistance, the co-existence of dependence and independence was evident. Children used a variety of verbal and non-verbal signals with both positive and non-positive overtons.