• Journal of the Korean Society of Food Culture
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• v.26 no.3
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• pp.211-219
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• 2011

To examine the key success factors for long-lasting restaurants, we visited 10 restaurants with 30 or more than 30 years of tradition, located in Seoul and Gyeonggi-do districts, to research these restaurant menus and customer characteristics by observation and interview. The results were analyzed using descriptive statistics. The outstanding feature noted was that each and every restaurant had its own simple and specialized menu. We found that this feature created a virtuous circle that reinforced itself through a positive feedback loop. The simple and specialized menu increased both the cooking efficiency and food quality while it reduced both food and labor costs, this enabled the customers to eat at an affordable price and have generous servings. This lead to customer satisfaction and revisits to the restaurant, which triggered word-of-mouth referral and expansion of their customer base. This in turn created higher operating profit margins that could be reinvested in the business. The secret recipes for cooking, invented by their founders, were passed on from generation to generation. Their customer base included customers of all ages from children to senior people. And their regular customers consisted of neighboring office workers and families traveling from a long distance. We hope that our findings on long-lasting restaurants, especially of the virtuous cycle created due to the simple and specialized menus with secret recipes, will contribute to the development of Korean style long-lasting restaurant model.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.906-914
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• 2014

This study conducted an exploratory factor analysis to examine how consumers' confidence on the local foods used at tasty farm eateries influence their purchase behaviors. The four factors of perception of local foods used at tasty farm eateries and the factors of consumer confidence and purchase behaviors were extracted for a reliability analysis, correlation analysis of variables, and simple and multiple regression analysis. The following are the findings: first, among the four factors of perception of local foods used at tasty farm eateries, safety, sociality and product value had statistically significant influences on consumer confidence, whereas regional economic value did not. In other words, safety referring to the nutritional value and sanitary safety of food ingredients used for the native foods at the tasty farm eateries, product value referring to the characteristics differentiated from general Korean cuisine, and sociality referring to the various related experiences for the interests in farm culture and local food, leads to consumer confidence, whereas regional economic value referring to farm household income, local job creation, and development of farm tourism does not. Second, consumer confidence had a statistically significant positive impact on consumers' purchase behaviors. Among the five principles of local foods, reliability is the most important factor. When consumers gain confidence on local food items and are satisfied with them, they make additional purchases and revisits. Therefore, confidence is a very important aspect for the loyalty and sustainability of business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.1034-1042
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• 2009

The study revisits Miles and Snow's strategy typology to investigate the performance relationship with the strategic behavior. Where the most strategy typology researches discern the typology by the respondent's survey such as choosing the best representative behavior for the organization, we developed the strategic typology by the organization's behavior such as marketing strategy, research and development strategy and members' attitudes to the quality. The financial crisis in Korea has reestablished organizational behavior. The study emphasized the changing attitudes of strategy. The results demonstrate that prospector organizations outperform other strategic behavior organizations.

• Nuclear Engineering and Technology
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• v.46 no.2
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• pp.207-216
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• 2014

This paper revisits the Fukushima accident to draw lessons in the aspect of nuclear safety considering the fact that the Fukushima accident resulted in core damage for three nuclear power plants simultaneously and that there is a high possibility of a failure of the integrity of reactor vessel and primary containment vessel. A brief review on the accident progression at Fukushima nuclear power plants is discussed to highlight the nature and characteristic of the event. As the severe accident management measures at the Fukushima Daiich nuclear power plants seem to be not fully effective, limitations of current severe accident management strategy are discussed to identify the areas for the potential improvements including core cooling strategy, containment venting, hydrogen control, depressurization of primary system, and proper indication of event progression. The gap between the Fukushima accident event progression and current understanding of severe accident phenomenology including the core damage, reactor vessel failure, containment failure, and hydrogen explosion are discussed. Adequacy of current safety goals are also discussed in view of the socio-economic impact of the Fukushima accident. As a conclusion, it is suggested that an investigation on a coherent integrated safety principle for the severe accident and development of innovative mitigation features is necessary for robust and resilient nuclear power system.

• The Journal of Korea Robotics Society
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• v.13 no.2
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• pp.79-85
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• 2018

This study focuses on autonomous exploration based on map expansion for an underwater robot equipped with acoustic sonars. Map expansion is applicable to large-area mapping, but it may affect localization accuracy. Thus, as the key contribution of this paper, we propose a method for underwater autonomous exploration wherein the robot determines the trade-off between map expansion ratio and position accuracy, selects which of the two has higher priority, and then moves to a mission step. An occupancy grid map is synthesized by utilizing the measurements of an acoustic range sonar that determines the probability of occupancy. This information is then used to determine a path to the frontier, which becomes the new search point. During area searching and map building, the robot revisits artificial landmarks to improve its position accuracy as based on imaging sonar-based recognition and EKF-SLAM if the position accuracy is above the predetermined threshold. Additionally, real-time experiments were conducted by using an underwater robot, yShark, to validate the proposed method, and the analysis of the results is discussed herein.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.562-583
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• 2010

Regulation theory became a popular framework for economic geography in the mid-1990s but lost favor before it became prominent in South Korea. This paper revisits regulation theory - in both its original (1990s) and the revised (2000s) forms - to consider its applicability to the case of Korean capitalism. We contend that the difficulties in applying regulation theory to Korea are, on one hand, indicative of certain fundamental limitations in the theoretical approach and, on the other hand, useful for clarifying the distinctiveness of Korean capitalism.

• Investigative Magnetic Resonance Imaging
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• v.19 no.4
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• pp.205-211
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• 2015

The human heart is a complex organ in which many complicated congenital defects may happen and some of them require surgical intervention. Due to the vast complexity of varied anatomical presentations, establishing an accurate and consistent nomenclature system is utmost important to facilitate effective communication among pediatric cardiologists, cardiothoracic surgeons and radiologists. The Van Praagh segmental approach to the complex congenital heart disease (CHD) was developed in the 1960s and has been used widely as the language for describing complex anatomy of CHD over the decades. It utilizes a systematic and sequential method to describe the cardiac segments and connections which in turn allows accurate, comprehensive and unambiguous description of CHD. It can also be applied to multiple imaging modalities such as echocardiogram, cardiac CT and MRI. The Van Praagh notation demonstrates a group of three letters, with each letter representative for a key embryologic region of cardiac anatomy: the atria, ventricles and great vessels. By using a 3-steps approach, we can evaluate complex CHD precisely and have no difficulties in communicating with other medial colleague. This pictorial essay revisits the logical steps of segmental approach, followed by a pictorial illustration of its application.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.23-34
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• 2020

The paper revisits the author's previous paper to examine short-run and long-run dynamic relationships between macroeconomic variables and stock prices in Korea. The data is updated to the period for which monthly data are available from January 1986 to June 2018 (390 observations) retrieved from the Bank of Korea. The results of Johansen cointegration test indicate that at least one cointegrating equation exists, confirming there is a long-run equilibrium relationship between macroeconomic variables and stock prices in Korea. The results of vector error correction estimates confirm that: 1) the coefficient of the error correction term is significant with a negative sign, which is, a long-run dynamic relationship is observed between macroeconomic variables and stock prices; 2) for short-run dynamics, the nominal exchange rate of the Korean won per the US dollar is positively related to stock prices, while interest rates are negatively related to stock prices in the short-run; 3) the coefficient of global financial crises is insignificant, that is, the changes of stock prices are determined largely by their own dynamics in the model. The results suggest only that the global financial crises neither cause instability in the cointegrating vector, nor affect significant changes in the endogenous variables in the model.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.1-16
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• 2019

Social media is one of the important marketing channels for companies, changing the way interacting with customers. Marketers attract participation from customers' in social media platforms by producing branded content, which helps them gain various marketing results such as brand awareness, web traffic, and sales. The number of the empirical studies on the effects of social media on marketing performance is still low although various success stories and studies have been published. In particular, IT companies are trying to attract users onto their websites with social media content and promotions; however, they regard the number of the visitors as a vanity metric, which has little effectiveness. The study examined the Effect of the site introduced via Facebook, a typical social medium, on customers' revisit. Precedent studies proved that revisit, one of forms of major visit for satisfactory results of a website, is suitable for analyzing the operational output on Facebook pages. The results of the study demonstrated that Facebook content has a positive impact on website inflows and revisits. Also, it turns out that the higher the average website visit depth reinforces the positive relationship between the rate of the inflow and that of the site revisit.

• The Journal of Korea Robotics Society
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• v.14 no.2
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• pp.87-93
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• 2019

This paper presents a 6-DOF relocalization using a 3D laser scanner and a monocular camera. A relocalization problem in robotics is to estimate pose of sensor when a robot revisits the area. A deep convolutional neural network (CNN) is designed to regress 6-DOF sensor pose and trained using both RGB image and 3D point cloud information in end-to-end manner. We generate the new input that consists of RGB and range information. After training step, the relocalization system results in the pose of the sensor corresponding to each input when a new input is received. However, most of cases, mobile robot navigation system has successive sensor measurements. In order to improve the localization performance, the output of CNN is used for measurements of the particle filter that smooth the trajectory. We evaluate our relocalization method on real world datasets using a mobile robot platform.