• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.29-37
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• 2017

The range of problems that can be handled by the activation of big data and the development of hardware has been rapidly expanded and machine learning such as deep learning has become a very versatile technology. In this paper, mnist data set is used as experimental data, and the Cross Entropy function is used as a loss model for evaluating the efficiency of machine learning, and the value of the loss function in the steepest descent method is We applied the Gradient Descent Optimize algorithm to minimize and updated weight and bias via backpropagation. In this way we analyze optimal reliability value corresponding to the number of exercises and optimal reliability value without overfitting. And comparing the overfitting time according to the number of data changes based on the number of training times, when the training frequency was 1110 times, we obtained the result of 92%, which is the optimal reliability value without overfitting.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.18-28
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.4
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• pp.5-8
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• 2015

In addition to the increased used for smart phones daily, various characteristics and problems for social commerce have been drawn attention recently, and also, have been analyzed by various impact factors which were given to the purchasing behaviors of consumers through social commerce. The study investigated consumers' use of social commerce based on SNS by using articles of Fair Trade Commission, Korea Consumer Agency and so on. As a result, cost reduction characteristics of social commerce, the impulse buy, and to understand in Review effect, latest mobile shopping growth of increases explosively, market by market conditions to move from offline to online, the social commerce it was found to have a significant impact on the time of the purchase of the consumer. In addition, the study has discussed the results of the significance and limitation. With those things, they can be a suggestion for future research. More than half of the consumers were satisfied with social commerce. The consumers made use of social commerce 1 or 2 times a month and when they were watching banner advertising. In detail, food and beverage tickets such as restaurants, café and bars occupied 35%, and they showed the highest. 'We-make-price', 'Ticket Monster' and 'Coupang' were used to investigate as representative social commerce companies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.95-102
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• 2012

Interactive drama is a story which requires user's free choice and participation. In this study, we grasp user's preference by making training data that utilize characters of interactive drama. Furthermore, we describe process of implementing systems which recommend new users path of stories that correspond with their preference. We used PCA and NMF to extract characteristic of preference. The success rate of recommending was 75% with PCA, while 62.5% with NMF.

• Journal of Biomedical Engineering Research
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• v.42 no.6
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• pp.277-286
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• 2021

The global market size of AI based SaMD for medical image in 2023 will be anticipated to reach around 620 billion won (518 million dollars). In order for Korean manufacturers to efficiently obtain CE marking for marketing in the EU countries, the paper is to introduce the recommendation and suggestion of how to reclassify SaMD based on classification rules of MDR because, after introducing the Regulation EU 2017/745, classification rules are quite modified and newly added compared to the Directive 93/42/EEC. In addition, the paper is to provide several rules of MDR that may be applicable to decide the classification of SaMD. Lastly, the paper is to examine and demonstrate various secondary data supported by qualitative data because the paper focuses on the suggestion and recommendation with a public trust on the basis of various secondary data conducted by the analysis of field data. In conclusion, the paper found that the previous classification of SaMD followed by the rule of MDD should be reclassified based on the Regulation EU 2017/745. Therefore, the suggestion and recommendation are useful for Korean manufacturers to comprehend the classification of SaMD for marketing in the EU countries.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.67-76
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• 2018

Purpose - With the worldwide aging problem and the development of globalization, customers prefer to seek affordable medical services with the higher quality overseas. This new trend has urged some destination countries to improve their services for the more competitive advantages over other countries. Literature research indicate that medical quality and cost may be the key factors influencing global patients' decisions. In the international environment, however, medical tourism destinations are selected due to cultural similarity between the hosting country and the customers' own country. The more similarity perceived between the two countries leads foreign patients to choose the considering country as the destination for medical tourism. However, little research has been conducted on this topic. Thus, we empirically investigate how cultural similarity influences Chinese medical customers' choice of the destinations. We also consider the factors related to medical competency and travel attribute which might affect customers' decisions along with some moderating roles of disease types. Research design, data, and methodology - We proposed a research model in order to confirm the relations among different variables of cultural similarity, medical competency, travel attractiveness, disease types, and destination choice. The questionnaire survey is processed in the more economically developed regions of China such as Beijing, Shanghai, and Jiangsu. Conditional logit regression is applied to analyze the data of 881. Results - Results indicate that cultural similarity is the important predictor of Chinese customers' decision to select a medical country. However, the effects of cultural similarity vary according to the disease types. We also find that medical competency and travel attractiveness influence their decisions with the moderating role of disease types. Conclusions - Cultural similarity is the important factor that influences Chinese potential medical tourists' decisions to select a destination. Marketing managers should consider the effects of cultural similarity when developing strategies for attracting Chinese medical tourists. Since medical competency and travel attractiveness are still the critical key elements for them to evaluate the destination countries, it is necessary to continuously improve medical service quality and facilities. The results also recommend that medical managers should sharpen their marketing strategies by segmenting Chinese potential customers in terms of disease types.

• International journal of advanced smart convergence
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• v.2 no.2
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• pp.40-42
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• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• Health Policy and Management
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• v.9 no.2
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• pp.77-94
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• 1999

The purpose of this study is to establish strategy by subdividing consumer market according to the lifestyle which influences the use of medical facilities. The subject of this study were 700 adults who were over 20 years of age and residing in Suwon and its vicinity. To collect data trained staff conducted person-to-person interviews with the assistance of structured questionnaires. The questionnaires cover the areas of life style pattern study. the characteristics of demographic sociology, decision-making process related to the use of medical service. The influencing factors were analyzed and as a result total 18 factors were singled out. Cluster analysis was performed to differentiate similar responses. Each group was named as 'health-unconcern type' 'passive health-concern type' 'regular health-concern type' and 'active health-concern type' according to the characteristics. Each group showed statistically significant difference in the characteristics of demographic sociology. Decision-making process regarding the use of medical service according to lifestyle was analyzed. As a result following items showed significant difference:whether the information was utilized, what was the criteria in selecting medical facilities for serious illness or complicated examination. who was the decision maker in selection medical facilities, and with whom one discussed in selecting medical facilities. The result of this study has its limitation in that it can not be applied directly to market subdivision. However, this will help medical facilities understand customers' lifestyle. which will eventually provide medical facilities with marketing tools in establishing effective PR strategy. In order to apply the lifestyle as a marketing tool of medical facilities, following tasks are to be carried out: the development of the questionnaire which can better analyze consumers' lifestyle related to the use of medical service. the examination of precise characteristics of subdivided market according to lifestyle. and the continuing study on the relationship between lifestyle and the process in selecting medical facilities.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.1
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• pp.56-66
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• 2012

Purpose: This study was conducted to compare internal marketing, job satisfaction and customer orientation between nurses in small-medium hospitals and nurses in general hospitals. Method: The participants were 470 nurses were working in 8 small-medium hospitals and 5 general hospitals. Data were collected with structured questionnaires in July, 2010, and analyzed using descriptive statistics, ${\chi}^2$-test, MANCOVA, t-test, One-way ANOVA, and Scheffe test with PASW (SPSS) 18.0 program. Results: There was no significant difference between small-medium hospital nurses and general hospital nurses in internal marketing and customer orientation. But nurses in small-medium hospitals had higher levels of job satisfaction than general hospital nurses. Conclusions: These findings demonstrate the necessity of developing programs that will help to improve job satisfaction in nurses.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.383-390
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• 2021

The main purpose of the study is to determine the features of the functioning of the university as a part of the state structure in the context of marketing management n the context of storing information technologies. Students were obtained due to the following theoretical methods: systems of analysis and synthesis, induction and deduction, comparison, classification, generalization and systematization, idealization and abstraction. It is advisable to study the essence and nature of educational services, as well as the role of education in economic development, relying on the methodology of institutional theory, the theory of stakeholders, which makes it possible to assess the contribution of education to the harmonization of public and individual interests, the formation of appropriate structures and subjects of development, ensuring the building of intellectual potential and quality of life. The specificity of the functioning of the university as a part of the state structure in terms of managing marketing activities was characterized.