• Journal of Radiation Protection and Research
• /
• v.46 no.4
• /
• pp.204-212
• /
• 2021

Background: Identification of radioisotopes for plastic scintillation detectors is challenging because their spectra have poor energy resolutions and lack photo peaks. To overcome this weakness, many researchers have conducted radioisotope identification studies using machine learning algorithms; however, the effect of data normalization on radioisotope identification has not been addressed yet. Furthermore, studies on machine learning-based radioisotope identifiers for plastic scintillation detectors are limited. Materials and Methods: In this study, machine learning-based radioisotope identifiers were implemented, and their performances according to data normalization methods were compared. Eight classes of radioisotopes consisting of combinations of ²²Na, ⁶⁰Co, and ¹³⁷Cs, and the background, were defined. The training set was generated by the random sampling technique based on probabilistic density functions acquired by experiments and simulations, and test set was acquired by experiments. Support vector machine (SVM), artificial neural network (ANN), and convolutional neural network (CNN) were implemented as radioisotope identifiers with six data normalization methods, and trained using the generated training set. Results and Discussion: The implemented identifiers were evaluated by test sets acquired by experiments with and without gain shifts to confirm the robustness of the identifiers against the gain shift effect. Among the three machine learning-based radioisotope identifiers, prediction accuracy followed the order SVM > ANN > CNN, while the training time followed the order SVM > ANN > CNN. Conclusion: The prediction accuracy for the combined test sets was highest with the SVM. The CNN exhibited a minimum variation in prediction accuracy for each class, even though it had the lowest prediction accuracy for the combined test sets among three identifiers. The SVM exhibited the highest prediction accuracy for the combined test sets, and its training time was the shortest among three identifiers.

• The Korean Journal of Health Service Management
• /
• v.10 no.2
• /
• pp.193-204
• /
• 2016

Objectives : The purpose of this study was to identify the mediation effect of a positive stress coping strategy between clinical practice stress and clinical practice satisfaction in nursing students. Methods : In this study, data was collected from 248 nursing students at K University in South Korea from October of 2015 to November of 2015. The collected data was analyzed using the SPSS 22.0 Statistics Program. Results : Clinical practice stress and a positive stress coping strategy were significant predictors of clinical practice satisfaction (${\beta}$=.442, p<.001). The explanatory power of the measure of clinical practice satisfaction was increased to 29.3% (p<.001) with solely clinical practice stress, and it reached 44.2% (p<.001) when a positive stress coping strategy was reflected. The results of this study confirmed that a positive stress coping strategy has a mediation effect on clinical practice stress and clinical practice satisfaction levels. Conclusions : It is necessary to develop a program to take advantage of positive stress coping skills so that nursing college students can smoothly overcome stress during their clinical training and thus improve their clinical practice experience.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.12
• /
• pp.459-465
• /
• 2017

This research aims to assess whether neurofeedback training can reduce theta waves in adolescents. The experiment was conducted on 35 early youths living in Gyeonggi-do at youth counseling centers during April-October. According to circumstances and opinions of participants in the pre-brain analysis, they were classified into a non-training group (A), 12-week training group (B), and 24-week training group (C), containing 10, 15, and 10 members, respectively. EEG measurement and neurofeedback training was performed using the prefrontal 2-channel NeuroharmonyS and Brain Optimization program. EEG data was processed utilizing Brain Analysis ver1.3. Deducted data was converted to SPSS 21.0 to enable statistical processing. As a strategy to reduce theta through the Beta increase training, we applied the appropriate Alpha, SMR, Beta low reward training to the individual. Study results confirmed that theta waves of adolescents decreased through the prefrontal neurofeedback training. Groups (B) and (C) exhibited a greater decrease in theta waves compared with the control group.

• PNF and Movement
• /
• v.8 no.2
• /
• pp.17-24
• /
• 2010

Purpose : The purpose of present study was to determine effects of a visual feedback training on balance ability in poststroke hemiparetic subjects. Methods : Fourteen chronic stroke patients participated. Participants were randomly divided into either visual feedback training group(7 experimental group, 7 control group). All of participated were inpatients at local rehabilitation center and had been receiving a traditional rehabilitation program, five days a week. Exprimental group have additionally undergone for four weeks, three days a week, the visual feedback training but control group was not received any additional program except the traditional rehabilitation program. The Berg Balance Scale(BBS), the FICSIT-4, the MTD-balance system to measure a balance ability were carried out twice before and after training. Results : After participation in the program, subjects of visual feedback training demonstrated a significant improvement in the scores of the BBS, the FICSIT-4, the MTD-Balance system. The control group had no change on the any tests. After the training, the result to improve significantly in visual feedback training group compared to post-test of control group were the score of BBS and the FICSIT-4 and the MTD-Balance system. Conclusions : The present study suggests that the visual feedback training program may become a useful strategy for enhancing balance ability in the rehabilitation of stroke patiens.

• Journal of the Korean Society for Marine Environment & Energy
• /
• v.20 no.1
• /
• pp.45-54
• /
• 2017

The youth unemployment problem has become a consistent issue with the number recently surpassing 1million. The marine and fisheries sector, being no exception, is having problems attracting outstanding individuals to the sector on the one hand, and in providing high quality jobs on the other, resulting in an imbalance in the supply and demand of the marine and fisheries sector workforce. In order to supply a workforce that meets the future and on the ground demands, addressing of the qualitative rather than the quantitative aspects of the imbalance issue is more important. Thus, the following strategies are recommended: 1) focus on developing a highly skilled workforce that corresponds to future and on the ground demands; 2) improve educational infrastructures such as training equipment, and enhance the professional capacity of school teachers; 3) establish an integrated system for the management of the education and re-education of human resources.

• Journal of the Korean Society of Physical Medicine
• /
• v.12 no.3
• /
• pp.79-84
• /
• 2017

PURPOSE: The purpose of this study is to examine how task-oriented training focused on lower extremity strengthening can affect mobility function and postural stability. METHODS: The study's subjects included 10 children with cerebral palsy: 7 girls and 3 boys between the ages of 4 and 9 whose Gross Motor Functional Classification System (GMFCS) level was I or II. Their functional mobility was gauged using the Gross Motor Function Measurement (GMFM), and their postural stability was evaluated using a force platform. Participants received task-oriented training focused on lower extremity strengthening for 5 weeks. The study used a paired t-test to investigate the difference in mobility function and postural stability of children with cerebral palsy before and after the lower extremity strengthening exercise. RESULTS: The GMFM dimensions D (standing) (p<.02) and E (walking) (p<.001) improved significantly between the pre-test and post-test. A significant increase in the posturographic center of pressure (CoP) shift and surface area of the CoP were found overall between the pre-test and post-test (p<.001). CONCLUSION: The present study provides evidence that an 8-week task-oriented training focused on strengthening the lower extremities is an effective and feasible strategy for improving the mobility function and postural stability of children with cerebral palsy.

• The Korean Journal of Emergency Medical Services
• /
• v.22 no.2
• /
• pp.93-102
• /
• 2018

Purpose: The study aims to establish an effective training strategy and methods by comparing the effects of educational interest, satisfaction, and achievements of virtual reality and videos education before simulation training. Methods: The randomized control study was implemented on May 31, 2018, by randomly selecting 36 participants to compare educational virtual reality and videos. Statistical analyses were performed using SPSS 20.0. Results: The participants were divided into an intervention group of 17(47.2%) and a control group of 19(52.8%). Regarding the levels of satisfaction, a significant difference (p= .010) was noted between the control (3.88 points) and the intervention groups (4.45 points). A significant difference (p= .001) was also noted between the intervention (80.3 points) and control (63.3 points) in terms of total simulation practical skills. Conclusion: Educational virtual reality can be an alternative training method to achieve the standard educational objectives by raising levels of educational interest and of achievement with practical skills.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.2
• /
• pp.111-130
• /
• 2014

For the key factors determining victory of combat, many works have been focusing on qualitative analyses in the past. As military training paradigm changes along with technology developments, demands for scientific analysis to prepare future military strength increase regarding military training results, and big data analysis has opened such possibility. We analyze the data from KCTC (Korea Combat Training Center) training to investigate the factors affected victory in offensive operations. In this context, we develop a way to measure the victory and the factors related to it from existing studies and military doctrines. We first identify Independent variables that affect offensive operations through variable selection and propose a mathematical model to explain combat victory by performing multiple regression analysis. We also verify our results with battalion-level live training data as well as previous studies on victory factors in the military doctrines.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.11
• /
• pp.75-84
• /
• 2018

Social engineering attack means to get information of Social engineering attack means to get information of opponent without technical attack or to induce opponent to provide information directly. In particular, social engineering does not approach opponents through technical attacks, so it is difficult to prevent all attacks with high-tech security equipment. Each company plans employee education and social training as a countermeasure to prevent social engineering. However, it is difficult for a security officer to obtain a practical education(training) effect, and it is also difficult to measure it visually. Therefore, to measure the social engineering threat, we use the results of social engineering training result to calculate the risk by system asset and propose a attack graph based probability. The security officer uses the results of social engineering training to analyze the security threats by asset and suggests a framework for quick security response. Through the framework presented in this paper, we measure the qualitative social engineering threats, collect system asset information, and calculate the asset risk to generate probability based attack graphs. As a result, the security officer can graphically monitor the degree of vulnerability of the asset's authority system, asset information and preferences along with social engineering training results. It aims to make it practical for companies to utilize as a key indicator for establishing a systematic security strategy in the enterprise.

• Journal of Fashion Business
• /
• v.27 no.1
• /
• pp.16-35
• /
• 2023

The advent of Omni Channel has changed the fashion business model and the role of fashion sales persons. In such situation, internal marketing can become an important organizational management strategy for fashion companies. Therefore, the purpose of this study is to identify the components of internal marketing of fashion companies for fashion shop masters in an omni channel environment. To achieve the purpose of this study, To achieve the purpose of this study, a qualitative study was conducted to investigate the internal marketing sub-factors of fashion companies. In-depth interviews were conducted for qualitative study. Seven respondents to the in-depth interview were fashion shop masters who had at least 10 years of field work experience. As a result of the qualitative study, internal marketing was derived from five factors, including empowerment, education and training, rewards, internal communication, and management supports. Empowerment factors consist of initiative, encourage creativity, and problem solving. Education and training factors consist of the degree of education and training opportunities, the value of education and training, and the scope of education and training. Rewards factors consist of diversity of rewards, fairness of rewards, and source of rewards. Internal communication factors consist of communication flexibility, diversity of communication and receptivity of communication. Management support factors consist of headquarters support and department store support.