• 한국컴퓨터정보학회논문지
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• 제21권6호
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• pp.83-88
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• 2016

In this research aimed to deduce internal marketing factors, purpose, and their practical application by analyzing preceding researches on internal marketing of Korean medical service organization and investigating the recent trend of its research. Subjects of research are ten preceding researches that have been published in KCI records for the last five years from 2011 to 2016. Summarize result of researches, first, internal factors that were most frequently used were internal communication, compensation system, and education and training, which were used by 8(.8). Second, occupations that had most interest in the internal marketing research appeared to be nursing(.9) and administration(.3). Third, the practical application of the internal marketing appeared to be job satisfaction(.8), followed by customer orientation(.6), and organizational commitment(.4). Suggestion do, necessary to develop subordinate factors regarding the realistic internal marketing, such as both-sided internal communication enhancement, education and training, compensation system differentiated by individuals and teams, fairness in performance rating, work environment improvement, delegation of authority, career development, shared organizational vision in order to maximize job satisfaction, job commitment, and organizational commitment of employees as internal customers, before establishing strategies to satisfy patients and guardians who are external customers.

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.58-63
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• 2017

The sound we hear is transmitted through the atmosphere. However, both the sound we want to hear and the surrounding sound are mixed, and noise is generated, and the sound is not clearly transmitted due to factors such as distance. In particular, in closed spaces like buildings, it is often difficult to hear sounds from outside because of the sound of reflection. People with hearing impairments, such as the elderly and the deaf, have a hard time hearing the sounds they want to hear. Thus, we are developing a hearing aid that can detect radio waves. To this end, we propose the development of a hearing aid that uses FM radio and Bluetooth. These devices are expected to be useful not only for the elderly and the deaf but also in situations where information is transmitted to a large number of people, such as students and tourists, in a large space. The main purpose of this device is to enable users to hear sound correctly without blind spots.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.82-89
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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 GradientDescentOptimize 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.

• 치위생과학회지
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• 제21권4호
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• pp.260-266
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• 2021

Background: The purpose of the study was to evaluate the relationship and route of dental Social Media marketing by age group and support effective dental marketingy by age group. Methods: A study was conducted on 265 people, aged 20 to 64 years, who lived in Seoul, Gyeonggi area and regularly used one or more of the social media platforms, Naver Band, Facebook, Instagram, KakaoStory, Twitter, or YouTube more than once a day. A 27-question questionnaire survey of approximately 10 minutes was conducted, and the collected data was statistically analyzed using the PASW program, with the significane level set to 0.05. Results: "Introduction of acquaintances" was the most common route to visit the dentist. Regarding the use of social media platforms based on age group, 'Instagram' had the highest frequency among people belonging to the age groups of 20 to 29 years and 30 to 39 years; 'YouTube' had the highest frequency among those aged 40 to 49 years; and 'Naver Band' had the highest frequency among those aged 50 to 65 years. Conclusion: The most frequently used social media by consumers according to age included Facebook, YouTube, and Instagram. However, social media was found to have no significant impact on the choice of dental institutions, as the number of people who visited the dentist through "Introduction of acquaintances" was the highest, and "Introduction of acquaintances" did not have experience accessing the dentist site after dental marketing. If this study could provide customized marketing information for each age group through social media, it is expected that the marketing effect of dental institutions through social media would be maximized in the future.

• Asian Pacific Journal of Cancer Prevention
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• 제17권8호
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• pp.3939-3943
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• 2016

Background: According to recent statistics, the breast cancer rate is growing fast in developing countries. In North West of Iran, the incidence of breast cancer after esophageal and gastric cancers has the highest rate. Previous studies have also indicated that women in this region show reluctance to do breast cancer screening. There is a great need for change to promote breast cancer screening among women. Social marketing is a discipline that uses the systematic application of commercial marketing techniques to promote the adoption of behavior by the target audience. Materials and Methods: In the present qualitative study, thirty-two women with breast cancer were interviewed about their experiences of breast cancer screening. A semi-structured interview guide was designed to elicit information specific to the 4 P's in social marketing. Results: Three main categories emerged from the analysis: price, service and promotion. Subcategories related to these main categories included factors effective in increasing and decreasing cost of screening, current and desirable features of screening services, and weakness of promotion. Conclusions: Screening programs should be designed to be of low cost, to meet patients' needs and should be provided in suitable places. Furthermore, it is essential that the cultural beliefs of society be improved through education. It seems necessary to design an executive protocol for breast cancer screening at different levels of primary health care to increase the women's willingness to undergo screening.

• 간호행정학회지
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• 제7권1호
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• pp.25-40
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• 2001

As the medical market has gradually changed from supplier-centered market to consumer-centered one, it makes hospital managers seek the consumer's satisfaction and the various marketing strategies for survival. Under the these changes, this study was accomplished to measure the consumer's satisfaction about the medial services which a general hospital provided, to identify the marketing strategies that a general hospital could establish for survival. For these purposes, a questionnaire was developed and distributed to 200 patients in general units and 100 patients in oriental units of a general hospital in Seoul. Among them, 163 reponses in general units and 71 reponses in oriental units were turned out to be useful. they were used for final analysis. The results of the survey were as follows : First, among all items of medical services which the hospital provided, patients were most satisfied by nursing services. Second, to Improve the hospital's medical service quality, it was very important for hospital staffs to be courtesy and to explain about a process of treatment or care sufficiently. Third, to decrease cost of medical service, it was very important to develop the various items and premiums of medical insurance especially in field of oriental medicine. Fourth, to make people come to the hospital easy, it was very important of fully utilize the public transportation such as subway. Fifth, to make hospital's image good, it was very important to develop well-prepared public relationship and to continuously provide the diverse medical service in the community.

• International journal of advanced smart convergence
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• 제5권1호
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• pp.47-50
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• 2016

Big Data is coming rapidly in recent times and keep the vast amount of data was utilized them. These data are utilized in many fields in particular, based on the patient data in the medical field to increase the therapeutic effect, as well as re-incidence to better treatment, lowering the readmission rates increased the quality of life. In this paper it is practiced to report basis of the analysis and verification of data using python. And it can be analyzed the data through a simple formula, from Select reason of Python to how it used; by Press analysis of Agriculture, Forestry and Fisheries research. In this process, a simple formula can be used that expression for analyzing the actual data so it taking advantage of the use of functions in real life.

• 보험의학회지
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• 제24권
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• pp.97-117
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• 2005

Internally Korean insurance market is that whole life products' growth are becoming slowdown that's why new insurance products have appeared on the market in consideration of consumer's needs recently. Externally domestic insurance market competitions has drifted from insurance industry to whole financial industry since bankasurance started. Life insurance companies should open up a new market to survive from severe competitions. Worksite marketing can be an alternative. An insurer make arrangements with an employer about an insurance terms which an insurer offers in Worksite marketing. Then eligible individuals enroll in the plans at their own discretion and pay 100 percent of the premium for coverage through payroll deductions. An employer doesn't need to pay extra money for additional benefit but can raise employee's loyalty and satisfaction of company through worksite marketing. An employee can be covered at discounted premium rate and less strict underwriting guidelines to an insurer compared to individual insurance. In developed countries specially U.S insurance market, Worksite marketing is getting very popular and growing rapidly due to the advantages. Worksite marketing has both individual insurance characters and group insurance characters. Individual insurance characters are that employees enroll in the plans at their own discretion and pay 100 percent of the premium for coverage. Group insurance characters are that actively at work and participation etc. An insurer have to reflect these two characters on Worksite marketing when an insurance company work out a plan for developing products and underwriting guidelines. When an insurer devise worksite products, one should consider participation level which means percentage of eligible employees participating. Participation is related to anti-selection. As we know underwriting is essential for every kind of insurance, especially underwriting plays major role in worksite marketing. We can see that in the below. Firstly, it has a function in calculation of premium rate. When calculate premium rate for worksite products underwriters have to estimate expected participation level and risk factors. So underwriters and acturies keep in close contact with each other. Secondly, underwriting methods are important. When an insurer underwrite worksite products, there are three kinds of underwriting methods. These are Simplified issue underwriting, Full underwriting and Guaranteed issue underwriting. Simplified issue underwriting typically requires no medical examination, but usually requires supplying satisfactory answers to one or several health and/or lifestyle questions. Full underwriting requires a complete medical history questionnaire that may further require an exam. Guaranteed issue underwriting means that coverage is issued without the employee having to provide evidence of insurability. When insurer set the GI limit are usually based on the type of industry, number of eligible employees, the average amount of coverage and participation level. In addition to insurer should have a clear definition of eligible employee on the insurance provision and application form. It will minimize possibility of trouble claims and anti-selection. An insurer also establish preexisting condition exclusion and special guidelines for late entrants. When an insurer introduce Worksite marketing to Korean insurance market, an insurer has to examine market research to analyze potential market and strategy of sales most of all. Also an insurer should review real situation of the U.S, England and Japanese market etc. There are a lot of new technologies about worksite marketing process that an insurer should learn. When an insurer consider many things which we explained it can be a real alternative.

• 한국인공지능학회지
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• 제5권1호
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• pp.1-9
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• 2017

Recently, the Q-Learning algorithm, which is one kind of reinforcement learning, is mainly used to implement artificial intelligence system in combination with deep learning. Many research is going on to improve the performance of Q-Learning. Therefore, purpose of theory try to improve the performance of Q-Learning algorithm. This Theory apply Cross Entropy Error to the loss function of Q-Learning algorithm. Since the mean squared error used in Q-Learning is difficult to measure the exact error rate, the Cross Entropy Error, known to be highly accurate, is applied to the loss function. Experimental results show that the success rate of the Mean Squared Error used in the existing reinforcement learning was about 12% and the Cross Entropy Error used in the deep learning was about 36%. The success rate was shown.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.74-81
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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(Dropout Genetic Algorithm) 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.