• The Journal of Internal Korean Medicine
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• v.38 no.5
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• pp.820-827
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• 2017

The prevalence of breast cancer is very high in Korea. Although the patients receive standard treatments, such as surgery, chemotherapy, or radiotherapy, they frequently experience recurrence or metastasis of their tumors. In addition, many patients with breast cancer also suffer from side effect symptoms induced by these standard treatments. Therefore, increasing numbers of patients now want to undergo treatment with traditional Korean medicine (TKM) in addition to conventional treatment. We present a case of 46-year-old female with recurred breast cancer. She first received two kinds of chemotherapy and then underwent surgery. She then also received 4 cycles of adjuvant chemotherapy. At a follow-up examination, she was informed of recurrent lesions on the right anterior chest wall. She started to receive TKM treatments together with a new chemotherapy. After about one month, the size of the recurred tumor in right chest wall had decreased. Her symptoms, such as shoulder pain, chest pain, and nausea induced by conventional therapy, were also improved. We suggest that a combination of TKM and chemotherapy is a promising treatment for breast cancer.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.123-126
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• 1998

The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the Meaning of these foundational concepts, simple genetic algorithm(SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithms. In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. So we propose a co-evolutionary method finding optimal fuzzy rules. Our algorithm is that after constructing two population groups m de up of rule vase and its schema, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the proposed method to a path planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

• Industrial Engineering and Management Systems
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• v.9 no.3
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• pp.227-241
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• 2010

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.98-100
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• 2007

This paper proposes a robust digital controller for PWM voltage source inverter using CRA method. The usual inverter controller for the operation of constant voltage and constant frequency consists of a double looped PI controller for the outer voltage controller and the inner current controller, of which the order of characteristic polynomial is high and so the gain tuning is difficult. Considering the limited switching frequency of the devices and sampling frequency of the digital controller, the gain tuning is usually based on the engineering experiences with the try and error method. In this paper, the error-space approach is used to get the system model including the controller with low order, and the characteristic ratio assignment (CRA) method is proposed for the design of robust controller which has the advantage to design the optimal gain to meet the referenced response and overshoot within the limit range. The PSiM simulation and experience results are shown to verify the validity of the proposed controller.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.411-427
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• 2018

This study is to understand the inner psychological state of consumers who pursue a retail therapy effect through fashion product shopping. Qualitative research on the whole process from the point of time of occurrence of shopping motivation to the end of shopping motivation was performed. The researcher became a virtual shopping partner during shopping and conducted a natural conversation interview using a mobile instant messenger program (Kakao Talk). After shopping, participants were asked to write a diary on that day. Collected data were analyzed by applying the grounded theory approach suggested by Strauss and Corbin (1998). Casual Condition, represented everyday stress and Contextual Condition indicated the self-healing consumption trend. Main Phenomena showed a mood change during the fashion shopping process. The sense of emancipation from the place, the satisfaction from the maintenance of social relations, and the sense of accomplishment through purchases were revealed. Intervening Condition showed the consideration in the process of shopping for fashion products, such as providing a try-on experience, price promotion, and involvement of a companion. Action Interaction Strategy was the shopping behavior for the positive emotion increase and negative emotion decrease. Consequence represented a retail therapy in shopping for fashion products.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.29-37
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• 2021

Purpose: The purpose of this study is to identify the characteristics and factors affecting falls among elderly inpatients with chronic diseases based on the data from the discharge damage depth survey of the Korea Disease Control and Prevention Agency(KDCA) from 2014 to 2018. Method: The study selected elderly inpatients aged over 65 who were hospitalized(n=1,173). Their data were analyzed after being assigned to either a fall group(KSCD, W00-W19) or a non-fall group. Frequency analysis, cross-tabulation analysis, and binary logistic regression analysis were conducted, using SPSS 28. Results: According to the analysis on category of fall and non-fall group were statistically significant difference in age and having chronic diseases. Based on the binary logistic regression analysis of factors affecting falls, The risk of falls was 1.058 times higher with age, and E11-E14 and I63 as main diagnostic codes, the risk of falls was 2.049 times and 2.437 times higher. Conclusion: It is necessary to develop customized educational manuals and muscle exercise programs considering the characteristics of chronic diseases and to create a safe hospital room environment, and this result is expected to be used as basic data for fall prevention education and manual development for elderly inpatients with chronic diseases.

• Journal of Korean Public Health Nursing
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• v.36 no.3
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• pp.375-388
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• 2022

Purpose: The purpose of this study was to identify the factors influencing depression among married Vietnamese immigrant women living in Korea. Methods: This study was a retrospective review of the dataset from the Korean 2018 National Multicultural Family Survey. The data were analyzed using the Rao-Scott x² test and multiple logistic regression using complex samples analysis. Results: The proportion of married Vietnamese immigrant women subjects in Korea who experienced depression was 27.7%. The factors affecting depression were age, length of stay in Korea, living area, economic status, difficulties in using medical care, difficulties faced during their stay in Korea and Korean language skills relationship with spouse and parents-in-law marital conflicts, cultural differences, their experience of social discrimination, life satisfaction, and meeting with friends from their homeland. Conclusion: The findings in this study indicate that the prevention of depression in married immigrant women in Korea could be aided by acculturation programs that deal with the relationships with their spouses and social supports.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.193-201
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• 2023

In this paper, we consider the maximum scatter traveling salesman problem (MSTSP), a travelling salesman problem (TSP) variant. The problem aims to maximize the minimum length edge in a salesman's tour that travels each city only once in a network. It is a very complicated NP-hard problem, and hence, exact solutions can be found for small sized problems only. For large-sized problems, heuristic algorithms must be applied, and genetic algorithms (GAs) are found to be very successfully to deal with such problems. So, this paper develops a hybrid GA (HGA) for solving the problem. Our proposed HGA uses sequential sampling algorithm along with 2-opt search for initial population generation, sequential constructive crossover, adaptive mutation, randomly selected one of three local search approaches, and the partially mapped crossover along with swap mutation for perturbation procedure to find better quality solution to the MSTSP. Finally, the suggested HGA is compared with a state-of-art algorithm by solving some TSPLIB symmetric instances of many sizes. Our computational experience reveals that the suggested HGA is better. Further, we provide solutions to some asymmetric TSPLIB instances of many sizes.

• Journal of the Korean Society of School Health
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• v.16 no.2
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• pp.45-55
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• 2003

This study was focused on comparing the knowledge, attitudes and experiences in sex and the needs for sex education of nursing students and non-nursing students. The subjects of this study were 403 female students who attended 4 universities in Busan. The data was collected from November 2002 to December, and analyzed by frequency, percentage, mean, standard variance, t-test and Chi-square. The results were as follows: 1. The mean score of sex knowledge of the nursing students was 13.29 and the non-nursing students's was 11.11. There was a difference(p=0.000) between nursing and non-nursing students in sex knowledge. 2. The mean score of sex attitude of nursing and non-nursing students was 25.64, 26.65 respectively. There was no statistical difference. 3. 61.8% of the nursing students and 62.3% of the non-nursing students had experienced a relation with the opposite sex. Kissing experience was 59.9%, 61.8% and masturbation was 9.5%, 9.2% respectively. Sexual intercourse was 5.3%, 11.9% and contraception was 1.9%, 8.2% respectively. Among these experiences, sexual intercourse and contraception experience rate were different(p=0.017, p=0.002 respectively) between nursing and non-nursing students. 4. Of 19 sexual education contents, only 'the dignity of life' showed a difference. That is, more nursing students(92.9%) wanted to know about 'the dignity of life' than non-nursing students(85.7%). Among the respcndent's needs on the sexual education contents, 'Contraception' was rated first and followed by 'Sex psychology of men and women', 'Pregnancy', 'Prevention of sexual crime' and 'Sexually transmitted diseases'. Most of the respcndents(95.8%) wanted sex education introduced in the :first year of university, and presented as a special class. Specifically, 50.0% of the students wanted the education to be more realistic and systemic. With the above results, when university faculties are sexual educating to university students, they have to aware of the difference of target students. And they need to stress more realistic and specific aspect of sexual education learning rather than theoretical teaching.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.41-53
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• 2019

As the paradigm of healthcare shifts from the center of treatment to the center of prevention, products and services related to disease prevention are emerging at domestic and abroad. The government considers the smart healthcare industry as a solution to healthcare problems such as an increase in the number of chronic illnesses and an increase in the burden of medical expenses. The purpose of this study is to explore the factors affecting the use of smart healthcare products and services focusing on Health Literacy and health related personal characteristics and to provide policy implications. The subjects of the questionnaire are 1,027 adults over 20 in the nation, and conducted an online survey. In addition, the factors were analyzed by decision tree method. As a result, most of the respondents(76.9%) did not have experience using Smart Healthcare products and services. However, in the Health Literacy question, there was a difference in use experience depending on the degree of difficulty in using the mass media information. Other factors were the degree of intention to use new technology, the understanding of counseling about family members and friends, and health checkups. In order to enable self-healthcare through smart healthcare products and services, the ability of consumers to explore and utilize health information from the mass media should be improved. In addition, government and enterprise efforts are needed to achieve this.