• The Korean Journal of Franchise Management
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• v.12 no.2
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• pp.35-49
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• 2021

Purpose: The major objective of this study is to develop a model for the impact of franchisors' Gapjil (verbal·nonverbal Gapjil, abusing bargaining position, refusing transaction, false or exaggerated information, restrictive practices, unfair damage compensation) on franchisee's recontract intention. We also examine the mediating role of economic satisfaction and social satisfaction in the relationship between franchisors' Gapjil and franchisee's contract intention. Research design, data, and methodology: Data were collected from franchisee owners located nationwide in Korea. Out of 256 questionaires distributed, a total of 256 questionnaires were returned. After excluding 10 invalid respondent questionnaires, we coded and analyzed 246 valid questionnaires (effective response rate of 96.09%) using frequency, confirmatory factor analysis, correlations analysis, and structural equation modeling with SPSS 22.O and SmartPLS 3.0. Results: The findings of this study are summarized as follows: First, among the Gapjil of the franchisors, restrictive practices and unfair damage compensation had negative effects on economic and social satisfaction, but verbal and nonverbal Gapjil for economic and social satisfaction was not significant. Second, abusing bargaining positions and false or exaggerated information had negative effects on social satisfaction, but for economic satisfaction, found to be insignificant. Third, economic and social satisfaction had positive effects on the franchisee's recontract intention to the franchisor. Conclusion: The following implications of this study are as follows. First, the construct of Gapjil that occurs between the franchisors and the franchisees was first presented, and the franchisors' Gapjil is divided into interpersonal Gapjil and structural Gapjil. Second, the Gapjil of the franchisors can be an important predictor variable in maintaining and developing a long-term relationship between the franchisors and the franchisees. Third, solving conflict due to the Gapjil problem between franchisors and franchisees can be an important factor for franchisors and franchisees to co-survive and thrive in Korean franchise system. Fourth, this study suggest that managing the Gapjil of the franchisors was a important antecedent factor in maintaining long-term relationship between the franchisors and the franchisees. Therefore, this study will help franchisors formulate effective symbiotic marketing strategies to satisfy relationships with franchisees and consequently enhance long-term orientation.

• The Journal of Korean Academic Society of Nursing Education
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• v.4 no.2
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• pp.187-203
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• 1998

The purpose of this study was to identify the correlation between burden and teaching effectiveness on clinical nursing practice. The subjects were collected 135 clinical nurses who have taught nursing students and worked at hospitals which have over 400 beds in Seoul, Inchon, and Kyoung-gi Do. The instruments used in this study were : the burden on clinical nursing education was measured by Montgomery (1985) developed and visual analogue scale, and effectiveness of clinical instruction was measured by Reeve (1994) developed. The results of this study were as follows. 1) Seeing that the general characteristics of participants : average ages we 32.8 years old, 29.6% of them have Catholics in religions. 75.6% of them were graduated from 3-year nursing college. 20.7% of nurses are working at the surgery ward and I.C.U in each. Clinical nursing career is average 10.03 years, clinical instructional career is 5.22 years, and clinical teaching time is 5.26 hours in a day. Contents of clinical teaching were composed of basic nursing skills 80.7%, orientation 78.5%, inspection(making rounds) 71.9%. 2) The mean score of the burden on clinical nursing instructor was 2.42 by Montgomery's scale and 4.69 by the visual analogue scale. Theses scores represented that subjects were not affected burden highly. The mean score of leaching effectiveness on clinical nursing education was 3.47 and the almost items were found to have higher level. 3) There is no statistically significant differences in the burden according to general characteristics. And the teaching effective ness on clinical nursing education according to general characteristics regarding the age, job position, clinical career and clinical educational time were shown statistically significant differences. 4) There is a negative correlation between the burden and teachin effectiveness on clinical nursing education with a correlation efficient(r=-0.396, p<0.01). Further study is recommended to explore the meaning of burden experiences of clinical instructor deeply and to identify the correlation between the burden of clinical instructor and teaching effectiveness as the job position, and to analysis differences in teaching effectiveness as subcategories.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.5
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• pp.38-44
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• 2007

This paper presented a location and attitude estimation scheme of a capsule endoscope based on ultrasonic ranging. The scheme comprised eight on-capsule ultrasonic sensors to alleviate measurement errors due to irregularities in human body ultrasonic characteristics. It calculated the coordinate values and angles in a Cartesian coordinate system. The Matlab simulation reflecting random errors yielded the average deviations of 0.8mm in the location and $0.2^{\circ}$ in the attitude angle. These values are far smaller than normal intestine movement ranges inside human body, and will contribute accurate diagnosis of intestine.

• Journal of Computational Design and Engineering
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• v.1 no.2
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• pp.140-151
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• 2014

Storing, and the loading and unloading of materials at production sites in the manufacturing sector for mass production is a critical problem that affects various aspects: the layout of the factory, line-side space, logistics, workers' work paths and ease of work, automatic procurement of components, and transfer and supply. Traditionally, the nesting problem has been an issue to improve the efficiency of raw materials; further, research into mainly 2D optimization has progressed. Also, recently, research into the expanded usage of 3D models to implement packing optimization has been actively carried out. Nevertheless, packing algorithms using 3D models are not widely used in practice, due to the large decrease in efficiency, owing to the complexity and excessive computational time. In this paper, the problem of efficiently loading and unloading freeform 3D objects into a given container has been solved, by considering the 3D form, ease of loading and unloading, and packing density. For this reason, a Group Packing Approach for workers has been developed, by using analyzed truck packing work patterns and Group Technology, which is to enhance the efficiency of storage in the manufacturing sector. Also, an algorithm for 3D packing has been developed, and implemented in a commercial 3D CAD modeling system. The 3D packing method consists of a grouping algorithm, a sequencing algorithm, an orientating algorithm, and a loading algorithm. These algorithms concern the respective aspects: the packing order, orientation decisions of parts, collision checking among parts and processing, position decisions of parts, efficiency verification, and loading and unloading simulation. Storage optimization and examination of the ease of loading and unloading are possible, and various kinds of engineering analysis, such as work performance analysis, are facilitated through the intelligent 3D packing method developed in this paper, by using the results of the 3D model.

• Journal of the Korea Computer Graphics Society
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• v.1 no.2
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• pp.201-212
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• 1995

This paper presents a new method of dynamics-based synthesis of bipedal, especially human, walking. The motion of the body at a time point is determined by ground reaction force and torque under the support foot and joint torques of the body at that time point. Motion synthesis involves specifying conditions that constrain ground reaction force and torque, and joint torques so that a given desired motion may be achieved. There are conditions on a desired motion which end-users can think of easily, e.g. the goal position and orientation of the swing foot for a single step and the time period of a single step. In this paper, we specify constraints on the motion of the support foot, which end-users would find difficult to specify. They are constraints which enforce non-sliding, non-falling, and non-spinning the support foot. They are specified in terms of joint torques and ground reaction force and torque. To satisfy them, both joint torques and ground reaction force and torque should be determined appropriately. The constraints on the support foot themselves do not give any good clues as to how to determine ground reaction force and torque. For that purpose, we specify desired trajectories of the application point of vertical ground reaction force (ground pressure) and the application point of horizontal ground reaction (friction) force. The application points of vertical pressure and friction force are good control variables, because they are indicators to kinds of walking motions to synthesize. The synthesis of a bipedal walking motion, then, consists of finding a trajectory of joint torques to achieve a given desired motion, so that the constraints are satisfied under the condition of the prescribed center of pressure and center of friction. Our approach is distinguished from many other approaches, e.g. the inverted-pendulum approach, in that it captures and formulates dynamics of the support foot and reasonable constraints on it.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.210-216
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• 2014

The edge in the image is a part which the brightness changes rapidly between the object and the object or objects and background, and includes information of the features such as size, position, orientation, and texture of the object. The edge detection is the technique that acquires these information of the images, and now the researches to detect edges are making steady progress. Typical conventional edge detection methods are Sobel, Prewitt, Roberts using the first derivative operator and Laplacian method using the second derivative operator and so on. These methods is more or less insufficient that the characteristics of the edge detection in the image added salt and pepper noise. therefore, in this paper, an edge detection algorithm using modified mask that applies different size mask according to noise density of local mask is proposed.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.101-115
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• 2017

This study classified social stratum variables of adults in their 20s to 50s by subjective and objective measurements and classified leisure activities into groups to examine the conspicuous consumption of leisure apparel. A total of 365 adults in their 20s to 50s living in Daegu and the Kyungbuk area were selected considering their jobs and residences. SPSS PC+ 20.0 was used to analyze the data with frequency analysis, factor analysis, reliability examination, cluster analysis, ANOVA, Duncan-test, Scheffe-test, and ${\chi}^2-test$. The results of this study are shown as follows. First, 'Jogging/Walking' was found to be the most favorable activity in the examination of leisure sports activities among the participants and showed a difference in gender. Second, leisure activities were pastime-culture activity, sports activities, static activity, volunteering, and relaxing, and these activities were grouped into non-participant, active and passive leisure activities. Conspicuous consumption of leisure apparel was classified into personality oriented, luxury goods-oriented, and other people-oriented. Third, there was a significant difference in the sub-factors of the conspicuous consumption of leisure apparel (personality oriented, luxury goods-oriented, other people-oriented) according to the sub-factors of subjective stratum(economic power, social position, level of consumption, cultural level and overall stratum consciousness). Fourth, there was significance in the objective social stratum variable by the types of leisure activities. Significant differences were found in personality orientation, luxury goods-oriented, and other people-oriented in conspicuous consumption of leisure apparel by the types of leisure activities. Finally, there were significant differences in economic power, level of consumption, cultural level of subjective social stratum by gender, sports activities and volunteering in leisure activities, as well as other people-oriented conspicuous consumption of leisure apparel. This study also found significant differences in economic power, level of consumption and cultural level of social stratum by age, as well as other people-oriented conspicuous consumption of leisure apparel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3708-3728
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• 2021

Indian herbal plants are used in agriculture and in the food, cosmetics, and pharmaceutical industries. Laboratory-based tests are routinely used to identify and classify similar herb species by analyzing their internal cell structures. In this paper, we have applied computer vision techniques to do the same. The original leaf image was preprocessed using the Chan-Vese active contour segmentation algorithm to efface the background from the image by setting the contraction bias as (v) -1 and smoothing factor (µ) as 0.5, and bringing the initial contour close to the image boundary. Thereafter the segmented grayscale image was fed to a leaky capacitance fired neuron model (LCFN), which differentiates between similar herbs by combining different groups of pixels in the leaf image. The LFCN's decay constant (f), decay constant (g) and threshold (h) parameters were empirically assigned as 0.7, 0.6 and h=18 to generate the 1D feature vector. The LCFN time sequence identified the internal leaf structure at different iterations. Our proposed framework was tested against newly collected herbal species of natural images, geometrically variant images in terms of size, orientation and position. The 1D sequence and shape features of aloe, betel, Indian borage, bittergourd, grape, insulin herb, guava, mango, nilavembu, nithiyakalyani, sweet basil and pomegranate were fed into the 5-fold Bayesian regularization neural network (BRNN), K-nearest neighbors (KNN), support vector machine (SVM), and ensemble classifier to obtain the highest classification accuracy of 91.19%.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.155-167
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• 2015

This study aims to examine the knowledge level of culinary staff members regarding the restaurant country- oforigin labeling system by developing a scale to investigate and evaluate such knowledge levels. The empirical study targeted culinary staff members with over 7 years of experience in 10 luxury hotels in Seoul who were approached through the convenience sampling method, which was conducted for 14 days from November 14th to 27th, 2014. A total of 192 self-administered questionnaires were collected, of which 186 questionnaires(93%) were used for the final analysis. For investigation and analysis, a frequency analysis was carried out to look into population statistics and the level of knowledge using the SPSS 18.0 statistics program. One-way ANOVA and t-test were carried out to investigate differences in knowledge levels of restaurant country-of-origin labeling system with reference to academic background, job position, and hotel management type. As the result, the average correct answer rate of the culinary staff members for a total of 21 questions was 39.85% and there were no significant differences based on the academic background. However, the correct answer rate was higher for respondents that held high positions and had independently managed hotels, suggesting that knowledge varied depending on job position and management type. In conclusion, it is suggested that in order to improve the level of knowledge of the restaurant country-of-origin labeling system among culinary staff members there is a need to enhance training and continuous supervision to apply the knowledge to work in future. In addition to this, this study discussed the limits of the study and the orientation of further research.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.139-155
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• 2016

The purpose of this study is to find the research identity of the Korea Intelligent Information Systems Society through the profiling methods and co-word analysis in the most recent three-year('2014~'2016) study to collect keyword. In order to understand the research identity for intelligence information system, we need that the relative position of the study will be to compare identity by collecting keyword and research methodology of The korea Society of Management Information Systems and Korea Association of Information Systems, as well as Korea Intelligent Information Systems Society for the similar. Also, Korea Intelligent Information Systems Society is focusing on the four research areas such as artificial intelligence/data mining, Intelligent Internet, knowledge management and optimization techniques. So, we analyze research trends with a representative journals for the focusing on the four research areas. A journal of the data-related will be investigated with the keyword and research methodology in Korean Society for Big Data Service and the Korean Journal of Big Data. Through this research, we will find to research trends with research keyword in recent years and compare against the study methodology and analysis tools. Finally, it is possible to know the position and orientation of the current research trends in Korea Intelligent Information Systems Society. As a result, this study revealed a study area that Korea Intelligent Information Systems Society only be pursued through a unique reveal its legitimacy and identity. So, this research can suggest future research areas to intelligent information systems specifically. Furthermore, we will predict convergence possibility of the similar research areas and Korea Intelligent Information Systems Society in overall ecosystem perspectives.