• Journal of Technologic Dentistry
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• v.33 no.4
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• pp.467-478
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• 2011

Purpose: The purpose of this study was to analyze dental technician's job environment and health condition level and to examine its correlation. Methods: 250 dental technicians in Seoul, Incheon, and Jeonbuk area were selected. Survey was carried out from October 11, 2010 to November 25, 2010 by using self-administered questionnaire. As for the tools for this study, the structured questionnaire was used with its proven reliability and feasibility, and the questionnaire consisted of total 49 questions which included general attribute of subjects(14 questions), job Environment(13 questions) and health condition(22 questions). The data analysis was processed by computerized system with SPSS Win 17.0. Statistical analysis techniques included frequency, percentage, T-test, One-way ANOVA analysis and regression analysis. Results: As a result of analyzing the research subjects' job environment level, there was significant difference in the item of gender, working hours a day(Hour), healthy condition, job satisfaction level with dental technician, plan for task continuity in dental technician(P<0.05). The average in the job environment was indicated to be high with 2.85. As a result of analyzing the research subjects' health condition level, there was significant difference in the item of gender, task field, working hours a day(Hour), healthy condition, job satisfaction level, plan for task continuity(P<0.05). The average in the self health recognition was indicated to be high with 2.83. Conclusion: Correlation between job environment and health condition, all of variables were indicated to have reverse correlation, thereby having been shown that the worse job environment leads to the more physical subjective symptoms.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.4
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• pp.61-68
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• 2019

As high schools implement credit completion system these days, concerns about the dissolution of classes, which are the original stable groups of studying and living, and the instability of the basal space, is growing due to the extended operation of moving optional classes. The purpose of this research is to understand the effect that environmental features of the basal space within the school and the operation method have on the students' space use and formation of attachment place within the school. For this, the main activity places, attachment places, school life satisfaction and others were investigated at 2 Japanese credit-based comprehensive high schools, which are different in the physical environmental features of school buildings. Based on this, a quantitative analysis about the distribution of activity places and attachment places was implemented. The space use features for each student attribute were compared, and the school life satisfaction for each type of attachment place formation was analyzed. As a result, the change of the territorial consciousness about the class space according to the implementation of moving optional classes could be understood. And it was confirmed that the students' space using behavior and place evaluation change according to the physical environmental feature of the class space and common space, and that this is affecting the life satisfaction of students.

• Smart Media Journal
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• v.10 no.1
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• pp.116-123
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• 2021

Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.1
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• pp.69-90
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• 2021

Purpose : This study explores unmet medical services within a region for patients admitted to a single medical institution in one region and was to analyze the importance and satisfaction of hospital selection attributes. Through this, we tried to solve the unmet medical needs of patients and provide useful basic data in terms of hospital management in the region. Methods : It were collected to a total of 250 questionnaires for patients admitted to the regional integrative medical hospital. However, 232 samples were used for the final analysis, excluding 18 copies not reported in good faith. For the analysis, first, demographic frequency analysis of inpatients and inpatients was performed, and second, characteristics of patients, including frequent disease receiving treatment, were analyzed. Next, descriptive statistics analysis was conducted on unmet medical service intentions. In terms of hospital selection attribute, the items of continuity maintenance (I quadrant), priority visibility (II quadrant), low priority (III quadrant), and excessive effort (IV quadrant) were derived using the IPA (importance-performance analysis) matrix technique. Results : The derived results were classified by item and area. In the priority administration area, it was the reputation and recognition of medical institutions and the service area of medical institutions. In the case of items, there were 6 items including the importance of surgery and medical expenses, and diet at hospitalization. 1) Conclusion : Thus a result of this study, resources are efficiently allocated to priority correction areas with high importance but low satisfaction and circulatory medical treatment is performed in the departments required by patients who use medical care and, various methods, such as preparing a policy to support medical expenses, should be sought.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.942-948
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• 2020

In this paper, we propose a clustered algorithm that possible more efficient user distinction within clustering using context-aware attribute information. In typically, the data provided to classify interrelationships within cluster information in the process of clustering data will be as a degrade factor if new or newly processing information is treated as contaminated information in comparative information. In this paper, we have developed a clustering algorithm that can extract user's recognition information to solve this problem in using K-means algorithm. The proposed algorithm analyzes the user's clustering attributed parameters from user clusters using accumulated information and clustering according to their attributes. The results of the simulation with the proposed algorithm showed that the user management system was more adaptable in terms of classifying and maintaining multiple users in clusters.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.51-76
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• 2022

Identifying the factors that influence the formation of the entrepreneurial intention is important in cultivating entrepreneurs and inducing entrepreneurial innovation in the country. Previous studies have mainly examined the direct effects of social cognition attributes as predictors on entrepreneurial intentions or entrepreneurial activities. However, the fundamental factors that these social cognition attributes are derived from have not been sufficiently addressed in the field of entrepreneurship. Based on social cognitive theory and schema theory, this study assumes that an individual's entrepreneurial experience is an important antecedent factor in forming social cognitive attributes, and reveals the mechanism for how experience forms entrepreneurial intention. To this end, this study analyzes the influence of entrepreneurs' prior experience of entrepreneurial activities on entrepreneurial self-efficacy, opportunity recognition, and fear of failure which are considered to be the main variables that shape entrepreneurial intention. And it analyzes how these factors have a significant effect on entrepreneurship intention. Along with this, the mediating role of these social cognitive attributes is analyzed in order to understand the path that leads from entrepreneurial experience to entrepreneurial intention. This study also suggests how gender moderates the effect of entrepreneurship experience on social cognitive attributes. As a result of the analysis, it was found that entrepreneurial experience increase entrepreneurial self-efficacy and opportunity recognition of entrepreneurs, and decrease the fear of failure. These social perception attribute significantly mediate the relationship between entrepreneurial experience and entrepreneurial intention. This study also found that there are significant moderating effects of gender on the relationship of entrepreneurial experience and both of entrepreneurial self-efficacy and fear of failure. This study also analyzed the impact of the entrepreneurial experience of failure, which corresponds to the detailed experience. Similar to the results of entrepreneurial experience analysis, entrepreneurial experience of failure plays a role in enhancing entrepreneurial self-efficacy. However, its effect on opportunity recognition and fear of failure were not significant. An empirical analysis of data related to 25,047 entrepreneurs from 87 countries, using the Global Entrepreneurship Monitor (GEM), shows the differences in the formation of individuals' entrepreneurial intentions according to entrepreneurial experience and the mediating role of social cognitive attributes. The study has embodied the social cognitive theory on entrepreneurial intention by shedding light on the variables that are important but alienated for increasing entrepreneurial intention. Moreover, the study enhances the understanding of cognitive processes leading from individual experiences to entrepreneurial intentions. This study also emphasizes the importance of differentiated approach by gender for boosting entrepreneurial intention through analysis of moderating effect of gender.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.218-231
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• 2001

Background : The purpose of this study was to investigate the understanding and the attitude of Korean hospital CEOs toward the healthcare quality improvement. Methods : A mailed questionnaire survey to the CEOs of hospitals with 400 beds or more was conducted between September 15 and October 30, 2000. Of the 108 hospitals eligible for the study, 58 participated, yielding a response rate of 54 percent. Result : The hospital CEOs have expressed that their hospital management was arduous job, and they had been pressured by increasing competitions among healthcare providers. They indicated that the low fees of health insurance made their hospital management difficult. The results also indicated that there was general consensus that the improvement of service quality was important in encouraging their organizations, but the investment of manpower and equipment ranked higher than the improvement of service quality. The majority of the CEOs have good understanding about quality improvement activities. However the facts that in general QI must be focused at the process of services and customer satisfaction, meanwhile quality improvement activities are helpful for the organizational productivity embarrassed them. The hospital CEOs responded that there were successful changes in terms of quality of care, patient satisfaction, and process efficiency after QI activities, but no increase in patient number and profit. Lack of understanding to QI activities and limited budget seem to attribute unsatisfactory outcomes. Conclusion : The majority of Korean hospital CEOs have a good understanding and attitude about QI activities. As mentioned in the result, despite of several limitations, several facts regarding the CEOs of hospital in Korean can be elucidated. (1) The general cognition of the QI project is relatively high, and it is accepted with positive concern, (2) the priority of the QI project, however, is not set higher than other projects and (3) the specific concepts of the actual QI project such as customer (patient)-focused work driving, the recognition of the work accomplishment, and the importance of rewards have not sufficiently understood.

• Journal of Distribution Science
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• v.14 no.8
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• pp.139-151
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• 2016

Purpose - In Chinese rose market, Korea competes against Latin American and African countries, but is not so competitive in terms of price and quality, implying the importance of using appropriate marketing strategies. This study aims to examine Chinese rose consumers' recognition and attributes of preference for roses produced in Korea, in order to use the result as baseline data for Korean rose exporters to China and provide implications that help establish a variety of marketing strategies targeting each region, income and age group. Research Design, Data and Methodology - 112 Chinese people were involved and interviewed in Chinese horticulture industry who had participated in 2016 Hortiflorexpo IPM Beijing. Online questionnaire survey was additionally conducted with 533 Chinese living in Korea and China. The Conjoint Analysis was conducted for region, age, and income group of respondents to estimate the relative importance of rose attributes evaluated by each population group and the utility derived from each attribute level. This process aimed to compare respective population groups for the relative importance and utility to derive implications for targeted marketing strategies. Results - The analysis finds that Chinese rose consumers prioritize rose color, followed by price, flowering stage, and flower size in purchasing roses. They prefer red roses most, followed by pink and then yellow. Moreover, they prefer larger roses, and relatively cheaper roses. The analysis reveals they prefer roses in their 20%-flowering stage to more than 40%-flowering stage. Conclusions - Establishing marketing strategies differentiated for each Chinese consumer group is critical in expanding Korean rose export. The analysis finds while Chinese consumers living in Beijing considered rose color and flowering stage more importantly than their counterparts in Shanghai, Chinese consumers living in Shanghai considered rose price and size more importantly than their counterparts living in Beijing. Therefore, establishing marketing strategies based on these attributes of preference in each region is necessary. Mid & low-income consumer groups considered price as the most important factor, and high-income consumer groups considered rose color as the most important one. It is, thus, important to focus on rose color when establishing a marketing strategy with targeting the high-income consumer group.