• Radiation Oncology Journal
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• v.18 no.3
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• pp.167-176
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• 2000

The objective of recent radiation therapy is to improve the quality of treatment and the after treatment quality of life. In Korea, sharing the same objective, significant advancement was made due to the gradual increase of patient number and rapid increase of treatment facilities. The advancement includes generalization of three-dimensional conformal radiotherapy (3D-CRT), application of linac-based stereotactic radiosurgery (SRS), and furthermore, the introduction of intensity modulated radiation therapy (IMRT). Authors in this paper prospectively review the followings: the advancement of radiation oncology in Korea, the recent status of four-dimensional radiation therapy, IMRT, the concept of the treatment with biological conformity, the trend of combined chemoradiotherapy, the importance of internet and radiation oncology information management system as influenced by the revolution of information technology, and finally the global trend of telemedicine in radiation oncology. Additionally, we suggest the methods to improve radiotherapy treatment, which include improvement of quality assurance (QA) measures by developing Koreanized QA protocol and system, regional study about clinical protocol development for phase three clinical trial, suggestion of unified treatment protocol and guideline by academic or research societies, domestic generation of treatment equipment's or system, establishment of nationwide data base of radiation-oncology-related information, and finally patterns-of-care study about major cancers.

• Korean Business Review
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• v.19 no.1
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• pp.157-174
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• 2006

In the past, because Korean private venture capital firms could get government support and subsidies, they could be survived in the market without having required management capabilities, advanced venture investment techniques, and professional supporting agencies and institutions. However, business environments have changed a lot recently. Now, only through identifying the optimal financial structures(the ratio of debt to equity), Korean private venture capital firms can minimize investment risks and ensure higher profits. Since Modigliani and Miller(1958) criticized the existence of the optimal financial structure, there have been numerous studies on the optimal financial structure of firms. However, there is no empirical study investigating the financial structure of venture capital firms. The purpose of this article is to analyze the relationship between firm characteristics, financial security indies, and financial profit indices of korean private venture capital firms. We gathered the data from various sources, including the web pages and the financial statements for 2003 and 2004. By using the student's t-test and the correlation analysis, we showed that there are differences in the current ratio and the ratio of net profit to net sales between new and old korean private venture capital firms. Even though it is known that korean private venture capital firms does not have enough knowledge and investment technique to compete with global venture capital firms, our result show that old korean private venture capital firms have already built some knowledge and understanding of venture capital investing.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.125-142
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• 2006

The purpose of this study is to Baekje Cultural Festival development & reform measure by using tourist behavior characteristic of using a correspondence analysis. This study searches choice attributes factors to compare and analyzes satisfaction with importance of each regional culture festival based on choice attributes factor to grasp main tourists' behavioral character about visitors of Buyeo baekje cultural festival that can be called representative regional cultural festival in Korea. Also, execute confrontation agreement test that is kind of multidimensional scaling, wish to examine preference by age and by companion of Buyeo baekje cultural festivals that is regional unique festival, and contribute attract foreign tourist to korea enlargement. And analyze through multiple regression analysis whether festival choice attributes factor exerts effect that is some in revisiting intention, I wish to consider desirable development and improvement plan that can analyze problem by this strength and weakness, raise more attractive foreign tourist to korea and incomes in Buyeo baekje cultural festival hereafter.

• Journal of Global Scholars of Marketing Science
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• v.16 no.3
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• pp.107-123
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• 2006

This study suggest a model to find out relationships among the servant leadership as a preceding factor, the trust in higher officers as mediating factors, and leader satisfaction, additional efforts as a resulting factor. Then, empirical study testify the relationship among these factors. This study confined the subjects of empirical analysis to the employees in super-deluxe hotels located in Seoul, Gyeongju, Busan, and Daegu areas. In order to clarify the utility of this study, This study took only hotel employees as the subject of measurement because only hotel organization is able to reveal sensitively the behavioral response between the leader and the members of organization. The preceding study has systematized a basic theory on the servant leadership, and provided factor structure in regard to the servant leadership, but this study has searched the factor structure of the servant leadership with the hotel employees as the subjects of study. Also, from the side of the personnel manager of hotel business, this study can be a criterion for clarifying a leadership program. Especially, in order to cultivate their servant leadership, it is necessary to testify morality and pride as sub-behavioral characteristics of new employees. Also to change the mid-managers' leadership for the effective achievement of the object of organization, this study can be utilized for the development of servant leadership.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.23-49
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• 2007

The purpose of this study is to investigate the relationships among customer satisfaction, trust, and loyalty and examine the differences and similarities between specialized and general merchandise internet shopping malls concerning the relationships of these key success factors. The structural model is tested with each of the sub-samples(i.e., specialized and general merchandise shopping customers taken separately) and the data from entire data samples(i.e., specialized and general merchandise shopping customers pooled together). The same research model was used in analysing general merchandise, specialized, and integrated internet shopping mall to reveal and compare the casual path constructs. In the analysis of path coefficients composed of separated taken sample, all research hypothesis is accepted and the model's goodness of fit also shows all high. In the basis of the previous empirical test, multiple sample method was used. Properties of the causal paths, including standardized path coefficients, the significance of difference, latent correlations and variance explained for satisfaction, trust and loyalty in the hypothesized model, have similarities in general. This means that the proper structural management concerned with customer satisfaction, trust and loyalty is very crucial for the success of all kinds of internet shopping malls. Following the model test, I conduct a test of integrated model's path coefficients. Statistical results show that all the hypothesis concerned with internet shopping malls were accepted like the separated sample test. Click and mortar companies should clearly understand and articulate the key requirements of shopping mall satisfaction, trust and loyalty and encourage to establish linkage and interactive relationship among the research variables. In addition, internet marketers are required to customize the interaction considering and adapting the patterns of internet shopping malls. Other interesting results concerning the strategies in internet shopping malls strategy are also presented.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.501-513
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• 2020

Femvertising campaigns are more easily observed in oversea rather than in Korea. Most recently, not only global companies but local consumer goods companies launched several femvertising campaigns. However, no research was done on effects of femvertising in Korea. Thus, this study will explore Korean college students' understanding of, attitude toward, and effects of femvertising through focus group interviews. Study results found that college students have low level of understanding on the concept of femvertising. However, they are somewhat familiar with contents of femvertising. Femvertising is believed to have positive impacts on gender equality and female empowerment whereas there are growing concerns over commercializing feminism. Study participants, regardless of gender, suggest that femvertising could influence consumers' attitude toward advertising and brand, but they are skeptical of purchase intention. Lastly, female participants suggest that femvertising, compared to traditional advertising, will enhance attitude toward ads and brand, and even have a positive impact on feminism. However, male participants suggest that femvertising may exacerbate the gender conflict between males and females which is called as 'misandry' or 'misogyny'.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.259-266
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• 2020

Many developments have been steadily carried out by researchers with applying knowledge-based expert system or machine learning algorithms to the financial field. In particular, it is now common to perform knowledge based system trading in using stock prices. Recently, deep learning technologies have been applied to real fields of stock trading marketplace as GPU performance and large scaled data have been supported enough. Especially, LSTM has been tried to apply to stock price prediction because of its compatibility for time series data. In this paper, we implement stock price prediction using LSTM. In modeling of LSTM, we propose a fitness combination of model parameters and activation functions for best performance. Specifically, we propose suitable selection methods of initializers of weights and bias, regularizers to avoid over-fitting, activation functions and optimization methods. We also compare model performances according to the different selections of the above important modeling considering factors on the real-world stock price data of global major companies. Finally, our experimental work brings a fitness method of applying LSTM model to stock price prediction.

• Structural Monitoring and Maintenance
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• v.2 no.1
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• pp.77-93
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• 2015

The idea of using measured dynamic characteristics for damage detection is attractive because it allows for a global evaluation of the structural health and condition. However, vibration-based damage detection for complex structures such as long-span cable-supported bridges still remains a challenge. As a suspension or cable-stayed bridge involves in general thousands of structural components, the conventional damage detection methods based on model updating and/or parameter identification might result in ill-conditioning and non-uniqueness in the solution of inverse problems. Alternatively, methods that utilize, to the utmost extent, information from forward problems and avoid direct solution to inverse problems would be more suitable for vibration-based damage detection of long-span cable-supported bridges. The auto-associative neural network (ANN) technique and the probabilistic neural network (PNN) technique, that both eschew inverse problems, have been proposed for identifying and locating damage in suspension and cable-stayed bridges. Without the help of a structural model, ANNs with appropriate configuration can be trained using only the measured modal frequencies from healthy structure under varying environmental conditions, and a new set of modal frequency data acquired from an unknown state of the structure is then fed into the trained ANNs for damage presence identification. With the help of a structural model, PNNs can be configured using the relative changes of modal frequencies before and after damage by assuming damage at different locations, and then the measured modal frequencies from the structure can be presented to locate the damage. However, such formulated ANNs and PNNs may still be incompetent to identify damage occurring at the deck members of a cable-supported bridge because of very low modal sensitivity to the damage. The present study endeavors to enhance the damage identification capability of ANNs and PNNs when being applied for identification of damage incurred at deck members. Effort is first made to construct combined modal parameters which are synthesized from measured modal frequencies and modal shape components to train ANNs for damage alarming. With the purpose of improving identification accuracy, effort is then made to configure PNNs for damage localization by adapting the smoothing parameter in the Bayesian classifier to different values for different pattern classes. The performance of the ANNs with their input being modal frequencies and the combined modal parameters respectively and the PNNs with constant and adaptive smoothing parameters respectively is evaluated through simulation studies of identifying damage inflicted on different deck members of the double-deck suspension Tsing Ma Bridge.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.316-329
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• 2008

Recently the increased attention pays on the processing of multiple, relatively low quantity, high value-added products resulted in adoption of batch process in the chemical process industry such as pharmaceuticals, polymers, bio-chemicals and foods. As there are more possibilities of the improvement of operations in batch process than continuous processes, a lot of effort has been made to enhance the productivity and operability of batch processes. But the chemical process industry faces a range of uncertainties factors such as demands for products, prices of product, lead time for the supply of raw materials and in the production, and the distribution of product. And global competition has made it imperative for the process industries to manage their supply chains optimally. Supply chain management aims to integrate plants with their supplier and customers so that they can be managed as a single entity and coordinate all input/output flows (of materials, information) so that products are produced and distributed in the right quantities, to the right locations, and at the right time.The objective of this study is to solve the purchase, distribution, production planning and scheduling problem, which minimizes the total costs of production, inventory, and transportation under uncertainty. And development of SCM model in chemical industry including batch mode operations. Through that, the enterprise can respond to uncertainty. Also integrated process optimal planning and scheduling model for manufacturing supply chain. The result shows that, the advantage of supply chain integration are quality matters seen by customers and suppliers, order schedules, flexibility, cost reduction, and increase in sales and profits. Also, an integration of supply chain (production and distribution system) generates significant savings by trading off the costs associated with the whole, rather than minimizing supply chain costs separately.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.85-97
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• 2017

In recent years, the damage scales of water disasters such as typhoons, tsunamis, and heavy snow have been increasing globally as a result of global warming and climate changes. In particular, the economic loss caused by typhoons has been increasing for overpopulated areas that have undergone economic development and urbanization since the 1960s. In this study, we investigated and analyzed satellite images captured before and after typhoons on the Korean peninsula, including Typhoon Chaba (2016), Typhoon Rusa ('02), and Typhoon Maemi ('03). There was a limitation in utilizing existing satellites. Domestic satellites have mostly been developed and operated for the observation of the weather, ocean, and topography, as well as for use in communication. There are therefore insufficient temporal and spatial observations for water management and disaster response. In this work, we expanded the scope to overseas satellites and collected data from GMS, TRMM, COMS, and GPM. In the future, it will be necessary to develop and launch water resources satellites that can provide sufficient temporal and spatial data analysis units to obtain rapid and accurate water hazard information for the Korean peninsula.