• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.371-381
• /
• 2020

The purpose of this study is to analyze the research trends of adaptation research of adolescents in multicultural families and to seek future research tasks and directions. For this purpose, a total of 94 journal papers were selected and the research status, research method, research subject, and research contents were examined. The analysis results are as follows. Firstly, journal articles has been steadily appearing since the 1st edition in 2007, and has soared since 2018. As a result of examining the number of papers by journal, a total of 50 papers were found in various fields. By journal field, 37(74%) were the most in the social science field. Second, among the analysis results of the research method, 68 research surveys were found, and quantitative research analysis methods accounted for 74%. Third, as a result of analyzing the research subjects, 75 cases were studied directly for multicultural adolescents only, and 19 others studied parents, teachers (workers) or adolescents and other subjects together. Fourth, in the contents of the study, school adaptation characteristics were the most frequently(52), followed by sociocultural adaptation characteristics(37). Based on the analysis results, future research directions and tasks were discussed.

• Women's Health Nursing
• /
• v.10 no.1
• /
• pp.32-41
• /
• 2004

Purpose: The purpose of this study was to explore and describe the process of life adaptation in women with cervical cancer. Method: A grounded theory method with guided data collection and analysis was used. Fifteen women with cervical cancer who had some kind of treatment at the hospital were asked open-ended and descriptive questions with a guideline. All interviews were tape-recorded and transcribed verbatim. Result: The core category that emerged from the comparative analysis was "overcoming cancer" named as a process of life adaptation in the participants. The process of overcoming cancer evolved three stages - "admitting reality", "attempting health-care" and "continuing health-care". Depending on the paradigm model, the central phenomena of the experiences was "powerlessness". The internal factors motivating women to overcome cancer were "denial of cancer" and "desire for life". Strategies of overcoming cancer included "living as a cancer patient," "selective food eating," "steady exercising," "getting rid of stress," and "preparing for death". The intervening conditions, "supportive system," "forms of life," and "burden on family," influenced overcoming cancer. Conclusion: The results of this study could help clinical nurses to understand life adaptation in cervical cancer patients and establish efficient coping strategies in dealing with the problems they face.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.2
• /
• pp.139-146
• /
• 2019

The purpose of this study is to find meaning of male nurses's adaptation to female nurses by grsping deeply what the adaption process of male nurses is from male nurses's point of views. What is the adaptation of male nurses to female nurses? With this research subject, we explored the adaptation process of male nurses to female nurses through phenomenological method. The study participants were 12 male nurses with more than 25 months of experience working in hospitals who agreed to the intention and method of the study. The results of this study were derived from 39 meanings of composition, 13 theme bundles, and 4 categories. As for the category, it was revealed that, in the case of maladjustment situation, there was a tendency to assimilate into force, interpersonal relationship, to improve the job ability, and to become a dedicated nurse. The results of this study can be used as basic data to develop effective nursing workforce management measures in the clinical field by understanding the adaptation process to female nurses of male nurses.

• Journal of Technologic Dentistry
• /
• v.42 no.4
• /
• pp.334-340
• /
• 2020

Purpose: This study aimed to compare three-dimensional adaptation with the rinsing time of the temporary crown produced using the digital light processing method. Methods: The maxillary right first molar abutment was scanned with a dental scanner. A temporary crown was designed with the scanned abutment. The designed crown was made of 10 temporary crowns using a digital light processing printer. The crowns were divided into the 5-minute and 10-minute rinsing groups; 5 temporary crown washes were performed for each group. In order to obtain the internal data, each group was scanned for a temporary crown. The three-dimensional fit was measured by superimposing the scanned internal surface data and the abutment data. The average comparison of three-dimensional adaptation was analyzed using the Mann-Whitney U test. Results: The 5-minute rinsing group showed a significantly higher adaptation of 71.42±3.08 ㎛ as compared to the 10-minute rinsing group (67.52±0.92 ㎛) (p<0.05). Conclusion: When making a temporary crown with a digital light processing method, a rinsing time of 10 minutes is appropriate.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.24 no.4
• /
• pp.382-391
• /
• 2021

Unsupervised domain adaptation often gives impressive solutions to handle domain shift of data. Most of current approaches assume that unlabeled target data to train is abundant. This assumption is not always true in practices. To tackle this issue, we propose a general solution to solve the domain gap minimization problem without any target data. Our method consists of two regularization steps. The first step is a pixel regularization by arbitrary style transfer. Recently, some methods bring style transfer algorithms to domain adaptation and domain generalization process. They use style transfer algorithms to remove texture bias in source domain data. We also use style transfer algorithms for removing texture bias, but our method depends on neither domain adaptation nor domain generalization paradigm. The second regularization step is a feature regularization by feature alignment. Adding a feature alignment loss term to the model loss, the model learns domain invariant representation more efficiently. We evaluate our regularization methods from several experiments both on small dataset and large dataset. From the experiments, we show that our model can learn domain invariant representation as much as unsupervised domain adaptation methods.

• Korea Journal of Hospital Management
• /
• v.28 no.2
• /
• pp.1-8
• /
• 2023

Purpose: This study was conducted to identify the impact of human rights sensitivity and patient rights awareness of first-year students in clinical practice on clinical practice adaptation and to prepare practical and systematic personality development program education alternatives to foster high-quality medical personnel. Method: As for the research method, an online survey of 155 medical and nursing students from two universities in G-do (76 medical students and 79 nursing students) was conducted, and the collected data were T-test, ANOVA, Scheffe test, Pearson's correlation coefficient and step-by-step multiple regression analysis using SPSS WIN/25.0. Findings: The results of the study are as follows. First, as a result of analyzing the differences in each variable according to general characteristics, human rights sensitivity had a significant impact on gender, patient rights recognition on personality type, and clinical practice adaptation had a significant impact on major selection motivation. Second, the factors affecting the adaptation of first-year college students to clinical practice had a significant impact on extroverted personality and patient rights perception among personality types (regression model results F=6.38 (p<).001), 24.2% explanatory power). Conclusion: This study suggests that education and policy efforts are needed to foster accurate awareness of human rights issues by developing flexible and flexible extracurricular activity programs in the operation of the curriculum to strengthen medical and nursing students' ability to adapt to clinical practice and improve awareness of human rights issues.

• Journal of Korea Multimedia Society
• /
• v.10 no.10
• /
• pp.1229-1239
• /
• 2007

In conversion of web pages for mobile devices, since existing web conversion systems eliminate unnecessary objects indiscriminately or only convert the layout of a page, the original intention of a web designer is spoiled. In spite of great advances in device technology, there still remain the problems of limited display sire and insufficient CPU power. In this paper, we propose an adaptation method that minimizes the loss of information and preserves the original intention of a web designer from the visual aspect. In image conversion, the proposed method extracts meaningful information from the background against conventional resizing methods, and performs layout-based conversion for the arrangement of image components. Experimental results show the efficiency of the method on the accuracy and the usability in comparison with existing methods.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.10
• /
• pp.4930-4951
• /
• 2018

The deep learning based speech enhancement has shown considerable success. However, it still suffers performance degradation under mismatch conditions. In this paper, an adaptation method is proposed to improve the performance under noise mismatch conditions. Firstly, we advise a noise aware training by supplying identity vectors (i-vectors) as parallel input features to adapt deep neural network (DNN) acoustic models with the target noise. Secondly, given a small amount of adaptation data, the noise-dependent DNN is obtained by using $L_2$ regularization from a noise-independent DNN, and forcing the estimated masks to be close to the unadapted condition. Finally, experiments were carried out on different noise and SNR conditions, and the proposed method has achieved significantly 0.1%-9.6% benefits of STOI, and provided consistent improvement in PESQ and segSNR against the baseline systems.

• Journal of Korea Society of Industrial Information Systems
• /
• v.7 no.3
• /
• pp.9-14
• /
• 2002

In this paper we propose a method for performance enhancement of speech recognizer under noisy conditions. The parallel combination model which is presented at the PMC method using multiple Gaussian-distributed mixtures have been adapted to the variation of each mixture. The CDHMM(continuous observation density HMM) which has multiple Gaussian distributed mixtures are combined by the proposed PMC method. Also, the EM(expectation maximization) algorithm is used for adapting the model mean parameter in order to reduce the variation of the mixture density. The result of simulation, the proposed PMC adaptation method show better performance than the conventional PMC method.

• Journal of Convergence for Information Technology
• /
• v.10 no.5
• /
• pp.1-7
• /
• 2020

This paper proposes a link adaptation method for Underwater Internet of Things (IoT), which reduces power consumption of sensor nodes and improves the throughput of network in underwater IoT network. Adaptive Modulation and Coding (AMC) technique is one of link adaptation methods. AMC uses the strong correlation between Signal Noise Rate (SNR) and Bit Error Rate (BER), but it is difficult to apply in underwater IoT as it is. Therefore, we propose the machine learning based AMC technique for underwater environments. The proposed Modulation Coding and Scheme (MCS) prediction model predicts transmission method to achieve target BER value in underwater channel environment. It is realistically difficult to apply the predicted transmission method in real underwater communication in reality. Thus, this paper uses the high accuracy BER prediction model to measure the performance of MCS prediction model. Consequently, the proposed AMC technique confirmed the applicability of machine learning by increase the probability of communication success.