• Journal of Korean Home Economics Education Association
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• v.29 no.4
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• pp.133-147
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• 2017

The purpose of this study was to investigate the perception and intake of Kimchi in middle school students in Gwangju area and analyzed the difference of Kimchi intake according to Kimchi perception level to provide basic data to help middle school students develop proper dietary behavior. The data were collected from middle school students in Gwangju area and 374 questionnaires were used for analysis. The main results of this study are as follows. First, the perception of Kimchi of middle school students was 4.10 for first grade and 3.92 for third grade, showed significant difference (p<0.001) between first grade and third grade. Second, the preference of Kimchi of middle school students by grade showed significant difference between first grade and third grade at 'Kimchi preference' (p<0.001) and 'Reasons for not eating Kimchi' (p<0.05) respectively. 81.7% in the first graders and 59.8% in the third graders, and the first graders more preferred Kimchi than the third graders. Third, the pattern of Kimchi intake of middle school students by grade showed significant difference between first grade and third grade at 'Frequency of Kimchi intake' (p<0.05) and 'Amount of Kimchi taken at one time' (p<0.05) respectively. Fourth, the education of Kimchi of middle school students by grade showed significant difference between first grade and third grade at 'My attitude toward Kimchi recommendation' (p<0.05), 'Necessity of Kimchi intake education' (p<0.05), 'Whether you think it is good food for Kimchi information' (p<0.001), 'Preferred method for the Kimchi education' (p<0.001) and 'Methods for increasing Kimchi intake' (p<0.05) respectively. Fifth, the preference of Kimchi of middle school students by the degree of Kimchi recognition showed significant difference at 'Kimchi preference' (p<0.001), 'Reasons for liking Kimchi' (p<0.05) and 'Reasons for disliking Kimchi' (p<0.05) respectively. The pattern of Kimchi intake of middle school students by the degree of Kimchi recognition showed significant difference at 'Frequency of Kimchi intake' (p<0.001) and 'Amount of Kimchi taken at one time'(p<0.05) respectively. The the education of Kimchi of middle school students by the degree of Kimchi recognition showed significant difference at 'My attitude toward Kimchi recommendation' (p<0.05), 'The experience of making Kimchi' (p<0.05), 'Necessity of Kimchi intake education' (p<0.001) and 'Whether you think it is good food for Kimchi information' (p<0.001) respectively.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.212-220
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• 2013

Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

• Journal of the korean academy of Pediatric Dentistry
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• v.25 no.4
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• pp.837-842
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• 1998

Rett syndrome is a progressive neurological disorder that occurs exclusively in females. The syndrome is characterized by regression of language, motor development, and stereotypic hand movement. Autistic behavior, breathing irregularities, gait dyspraxia, scoliosis, and seizure are also accompanied. The cause of Rett syndrome is unknown, however, it is believed that the X-chromosome might playa significant role in the development of the syndrome. Patients with this syndrome have unusual oral and/or digital habits such as abnormal chewing pattern, bruxism, hypersalivation, micrognathia, high vaulted palate, tongue protrusion with lower posture of tongue, hand biting, digit-hand sucking. Dentists who are aware of distinct manifestations of Rett syndrome will be able to aid in early diagnosis and treatment of the syndrome. Prior to dental treatment for a patient with the Rett syndrome under sedation or general anesthesia, one should assess the degree of hypersalivation, apnea, severity of autism, expected life span. Early recognition of the syndrome and also dental treatment with established strict preventive guidelines for patients with the Rett syndrome may obviate the necessity of sedation or general anesthesia. Two cases with the Rett syndome were reported. Both patients had most of the above mentioned typical manifestations of the syndrome. Dental treatment for the case 1(8-year-old) including caries control, stainless steel crown, sealant application was performed under general anesthesia. The case 2 could not be undergone the dental treatment due to poor general conditions.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.6
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• pp.37-48
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• 2005

The efficiency of power supply circuits such as DC-DC converters and batteries varies on the trend of the power consumption because their efficiencies are not fixed. To analyze the efficiency of power supply circuits, we need the temporal behavior of the power consumption of the loads, which is dependent on the activity factors of the devices during the operation. Since it is not easy to model every detail of those factors, one of the most accurate power consumption analyses of power supply circuits is measurement of a real system, which is expensive and time consuming. In this paper, we introduce an active load emulator for embedded systems which is capable of power measurement, logging, replaying and synthesis. We adopt a pattern recognition technique for data compression in that long-term behaviors of power consumption consist of numbers of repetitions of short-term behaviors, and the number of short-term behaviors is generally limited to a small number. We also devise a heterogeneous structure of active load elements so that low-speed, high-current active load elements and high-speed, low-current active load elements may emulate large amount and fast changing power consumption of digital systems. For the performance evaluation of our load emulator, we demonstrate power measurement and emulation of a hard drive. As an application of our load emulator, it is used for the analysis of a DC-DC converter efficiency and for the verification of a low-power frequency scaling policy for a real-time task.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.61-67
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• 2019

The purpose of this study is to apply self-leadership program using films to nursing students and to confirm the effects of self-leadership, empowerment, self-directed learning and happiness. The study participants were 60 nursing students, the data was collected from March 7, to June 13, 2017. The data was analyzed by frequency, percentage, mean, standard deviation, and paired t-test using SPSS WIN 24.0 computer program. The self-leadership program consisted of 13 sessions, and 14 films were used for self-management, self-training, and self-branding. The self-leadership of nursing students was significantly increased after education(t=-4.38, p<.001). In details, behavior-focused strategies, natural-reward strategies, and constructive thought pattern strategies were all significant. Empowerment also increased significantly after education(t=-5.83, p<.001), and personal skills, collective recognition, and self-determination were all significant. Self-directed learning were high after education(t=-3.31, p=.002), and learning plans and learning practices were significant. In addition, the happiness of nursing college students was significantly higher after education(t=-4.49, p<.001). As a result of this study, self-leadership program using movies can improve self-leadership, empowerment, self-directed learning and happiness of nursing students and It will be possible to apply as educational intervention in the future.

• Korean journal of food and cookery science
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• v.17 no.1
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• pp.43-54
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• 2001

This study was to investigate the behavior related to health, food habits, food consumption pattern and nutrient intakes of female students who residing in dormitory(self cooking) according to BMI(Body Mass Index). This study was carried out by questionnaired on June, 2000. Three hundred nine students were answered. The results were as follows: 1. The means of height, weight and BMI were 162.37$\pm$4.36cm, 52.48$\pm$5.54kg and 19.89$\pm$1.89. Under 20 of BMI among students were 53.1% and 20-25 of BMI were 46.9% of students. 2. In the self recognition of body shape, 63.4% of under weight subjects answered that their weight were normal. 73.1% of normal weight regard themselves more obese than their actual body shape normally shows. 51.2% of under weight subjects had attempted to control their weight. This results suggest that their weight control attempts were unnecessary. 3. 81.4% of subjects were answered irregular meals regardless BMI. 89.6% of subjects skipped breakfast. The main reasons were due to lack of time or not to eat proper food. Under weight subjects had less snack than normal weight subjects did(p '||'&'||'lt; 0.05). Normal weight subjects had more bun and cake than under weight subjects(p '||'&'||'gt; 0.05). 4. The consumption of vegetables and fruits were low regardless BMI. Mean energy, protein, Fe, Vit A, B$_1$, B$_2$, niacin, Vit C were above 75% of RDA, except calcium, in subjects. This study suggest that a comprehensive nutrition education program is need for college student in dormitory to improve their eating habits about skipping meal and breakfast and to increase the consumption of vegetables and fruits.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.1-23
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• 2019

Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

• Journal of Distribution Research
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• v.15 no.3
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• pp.71-110
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• 2010

1. Introduction Today Internet is recognized as an important way for the transaction of products and services. According to the data surveyed by the National Statistical Office, the on-line transaction in 2007 for a year, 15.7656 trillion, shows a 17.1%(2.3060 trillion won) increase over last year, of these, the amount of B2C has been increased 12.0%(10.2258 trillion won). Like this, because the entry barrier of on-line market of Korea is low, many retailers could easily enter into the market. So the bigger its scale is, but on the other hand, the tougher its competition is. Particularly due to the Internet and innovation of IT, the existing market has been changed into the perfect competitive market(Srinivasan, Rolph & Kishore, 2002). In the early years of on-line business, they think that the main reason for success is a moderate price, they are awakened to its importance of on-line service quality with tough competition. If it's not sure whether customers can be provided with what they want, they can use the Web sites, perhaps they can trust their products that had been already bought or not, they have a doubt its viability(Parasuraman, Zeithaml & Malhotra, 2005). Customers can directly reserve and issue their air tickets irrespective of place and time at the Web sites of travel agencies or airlines, but its empirical studies about these Web sites for reserving and issuing air tickets are insufficient. Therefore this study goes on for following specific objects. First object is to measure service quality and service recovery of Web sites for reserving and issuing air tickets. Second is to look into whether above on-line service quality and on-line service recovery have an impact on overall service quality. Third is to seek for the relation with overall service quality and customer satisfaction, then this customer satisfaction and loyalty intention. 2. Theoretical Background 2.1 On-line Service Quality Barnes & Vidgen(2000; 2001a; 2001b; 2002) had invented the tool to measure Web sites' quality four times(called WebQual). The WebQual 1.0, Step one invented a measuring item for information quality based on QFD, and this had been verified by students of UK business school. The Web Qual 2.0, Step two invented for interaction quality, and had been judged by customers of on-line bookshop. The WebQual 3.0, Step three invented by consolidating the WebQual 1.0 for information quality and the WebQual2.0 for interactionquality. It includes 3-quality-dimension, information quality, interaction quality, site design, and had been assessed and confirmed by auction sites(e-bay, Amazon, QXL). Furtheron, through the former empirical studies, the authors changed sites quality into usability by judging that usability is a concept how customers interact with or perceive Web sites and It is used widely for accessing Web sites. By this process, WebQual 4.0 was invented, and is consist of 3-quality-dimension; information quality, interaction quality, usability, 22 items. However, because WebQual 4.0 is focusing on technical part, it's usable at the Website's design part, on the other hand, it's not usable at the Web site's pleasant experience part. Parasuraman, Zeithaml & Malhorta(2002; 2005) had invented the measure for measuring on-line service quality in 2002 and 2005. The study in 2002 divided on-line service quality into 5 dimensions. But these were not well-organized, so there needed to be studied again totally. So Parasuraman, Zeithaml & Malhorta(2005) re-worked out the study about on-line service quality measure base on 2002's study and invented E-S-QUAL. After they invented preliminary measure for on-line service quality, they made up a question for customers who had purchased at amazon.com and walmart.com and reassessed this measure. And they perfected an invention of E-S-QUAL consists of 4 dimensions, 22 items of efficiency, system availability, fulfillment, privacy. Efficiency measures assess to sites and usability and others, system availability measures accurate technical function of sites and others, fulfillment measures promptness of delivering products and sufficient goods and others and privacy measures the degree of protection of data about their customers and so on. 2.2 Service Recovery Service industries tend to minimize the losses by coping with service failure promptly. This responses of service providers to service failure mean service recovery(Kelly & Davis, 1994). Bitner(1990) went on his study from customers' view about service providers' behavior for customers to recognize their satisfaction/dissatisfaction at service point. According to them, to manage service failure successfully, exact recognition of service problem, an apology, sufficient description about service failure and some tangible compensation are important. Parasuraman, Zeithaml & Malhorta(2005) approached the service recovery from how to measure, rather than how to manage, and moved to on-line market not to off-line, then invented E-RecS-QUAL which is a measuring tool about on-line service recovery. 2.3 Customer Satisfaction The definition of customer satisfaction can be divided into two points of view. First, they approached customer satisfaction from outcome of comsumer. Howard & Sheth(1969) defined satisfaction as 'a cognitive condition feeling being rewarded properly or improperly for their sacrifice.' and Westbrook & Reilly(1983) also defined customer satisfaction/dissatisfaction as 'a psychological reaction to the behavior pattern of shopping and purchasing, the display condition of retail store, outcome of purchased goods and service as well as whole market.' Second, they approached customer satisfaction from process. Engel & Blackwell(1982) defined satisfaction as 'an assessment of a consistency in chosen alternative proposal and their belief they had with them.' Tse & Wilton(1988) defined customer satisfaction as 'a customers' reaction to discordance between advance expectation and ex post facto outcome.' That is, this point of view that customer satisfaction is process is the important factor that comparing and assessing process what they expect and outcome of consumer. Unlike outcome-oriented approach, process-oriented approach has many advantages. As process-oriented approach deals with customers' whole expenditure experience, it checks up main process by measuring one by one each factor which is essential role at each step. And this approach enables us to check perceptual/psychological process formed customer satisfaction. Because of these advantages, now many studies are adopting this process-oriented approach(Yi, 1995). 2.4 Loyalty Intention Loyalty has been studied by dividing into behavioral approaches, attitudinal approaches and complex approaches(Dekimpe et al., 1997). In the early years of study, they defined loyalty focusing on behavioral concept, behavioral approaches regard customer loyalty as "a tendency to purchase periodically within a certain period of time at specific retail store." But the loyalty of behavioral approaches focuses on only outcome of customer behavior, so there are someone to point the limits that customers' decision-making situation or process were neglected(Enis & Paul, 1970; Raj, 1982; Lee, 2002). So the attitudinal approaches were suggested. The attitudinal approaches consider loyalty contains all the cognitive, emotional, voluntary factors(Oliver, 1997), define the customer loyalty as "friendly behaviors for specific retail stores." However these attitudinal approaches can explain that how the customer loyalty form and change, but cannot say positively whether it is moved to real purchasing in the future or not. This is a kind of shortcoming(Oh, 1995). 3. Research Design 3.1 Research Model Based on the objects of this study, the research model derived is