• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.626-643
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• 2023

As mobile forensics has emerged as an essential technique, the demand for technology development, education and training is increasing, wherein images are used. Academic societies in South Korea and national institutions in the US and the UK are leading the Mobile Forensic Image development. However, compared with disks, images developed in a mobile environment are few cases and have less active research, causing a waste of time, money, and manpower. Mobile Forensic Images are also difficult to trust owing to insufficient verification processes. Additionally, in South Korea, there are legal issues involving the Telecommunications Business Act and the Act on the Protection and Use of Location Information. Therefore, in this study, we requested a review of a standard model for the development of Mobile Forensic Image from experts and designed an 11-step development model. The steps of the model are as follows: a. setting of design directions, b. scenario design, c. selection of analysis techniques, d. review of legal issues, e. creation of virtual information, f. configuring system settings, g. performing imaging as per scenarios, h. Developing a checklist, i. internal verification, j. external verification, and k. confirmation of validity. Finally, we identified the differences between the mobile and disk environments and discussed the institutional efforts of South Korea. This study will also provide a guideline for the development of professional quality verification and proficiency tests as well as technology and talent-nurturing tools. We propose a method that can be used as a guide to secure pan-national trust in forensic examiners and tools. We expect this study to strengthen the mobile forensics capabilities of forensic examiners and researchers. This research will be used for the verification and evaluation of individuals and institutions, contributing to national security, eventually.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.129-143
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• 2023

Purpose: This study aimed to examine the mediating effects of clinical nurses' job crafting on organizational effectiveness based on the job demands-resources model proposed by Bakker and Demerouti (2017). Methods: The participants consisted of 393 nurses working in nursing units of a tertiary general hospital located in Cheongju region. The data, collected using questionnaire from August 9 to August 20, 2021, were analyzed using SPSS 23.0 and AMOS 27.0. Results: The goodness-of-fit (GoF) test results on the modified model (χ² = 2.7, GFI = .94, SRMR = .03, RMSEA = .06, NFI = .92, CFI = .94, TLI = .92, AGFI = .90), indicated that the GoF index satisfied the recommended level. Regarding the effects of each variable on organizational effectiveness, job crafting showed statistically significant direct (β = .48, p < .001), indirect (β = .23, p < .001), and total effects (β = .71, p < .001). Burnout showed statistically significant direct effect (β = - .17, p < .001). Work engagement showed statistically significant direct (β = .41, p < .001) and total effects (β = .41, p < .001). The factors explaining organizational effectiveness were job crafting, burnout, and work engagement, which had an explanatory power of 76.7%. Conclusion: Nurses' job crafting is an important mediating factor for enhancing the organizational effectiveness of nursing organizations. Hospitals should develop job-crafting success cases and related education and training programs as a strategy for enhancing the job crafting of nurses and, consequently organizational effectiveness.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.99-105
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• 2023

This thesis discusses a performer's unpredictability and immediacy as a prerequisite quality and/or ability to facilitate his/her professional identity as a doer on stage. To examine the key principles and approaches, this research focuses on addressing a specific aspect of the performer's transformative experience from those, directors, and practitioners' concepts that inform and enhance the performer's passive readiness on stage. To be precise, this research attempt to interrogate and articulate the place and role of a performer's internal readiness and/or that of inner looking. The performer's inner intensity as seed of action signifies that his/her body is being in a state of listening to every tiny moment with his/her heightened awareness which in turn lead the performer's body to meet the demands of theatre, the whole-body engagement. Here, this thesis argues that the key principles of acting/training underlies the importance of a performer's ethical attitude and at the same time his/her responsibility for what the performer's choices and experiences within the performative involvement, that is, a process of preparation, are not technical matter but rather, the concepts, and/or approaches from those theatre artists' practical assumptions highlight a process of thorough encountering and/or listening to his/her body. Inhabiting and/or obtaining the principles through the performer's body means being free from his/her unnecessary trait(s) which in turn initiate and then move the whole body according to what is happening in the series of moment(s) on stage. What is more, such an appropriate psychophysical order reminds us of the significance of the nature of human/performer's body, namely, to being in a state of one's 'own' body as oneness. From this perspective, this thesis further argues that the performer's body necessarily need to be affected and/or triggered in a sense of responding to the given circumstance where the performer is working on in the here and now.

• Journal of Advanced Technology Convergence
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• v.2 no.3
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• pp.33-41
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• 2023

This study aimed to improve the quality of classes through the application experience analysis after applying the adult nursing simulation practice modules with PBL. Quantitative and qualitative data such as from satisfaction, validity, self-reflection, and lecture evaluation in 68 nursing students were analyzed after the semester. Satisfaction was 4.64 points out of 5 points, and 'I want to recommend this class to other friends' was the highest. It was appropriate for the validity as 64.7% to 100% positve answer. From the qualitative data analysis of lecture evaluation, it was categorized into 5 thematic groups : 'increased immersion related to a lively class environment', 'growth of knowledge and skills through learners' active participation', 'improvement of mutual collaboration skills through team-based problem-solving process', 'Improvement of problem-solving ability through situational crisis coping process' and 'Improvement of individual comprehension through close teaching'. The continuous development of PBL learning strategies and development of various scenarios are required in the future.

• The Journal of Korean Physical Therapy
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• v.35 no.4
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• pp.111-116
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• 2023

Purpose: Pneumoconiosis is a chronic lung disease in which the lungs become hardened due to the accumulation of fine mineral dust that has been breathed in at industrial sites. The lungs are unable to function properly, resulting in complications of several respiratory diseases. Methods: The subjects were 36 elderly adults (pneumoconiosis patients 18, healthy elderly 18) over the age of 65 years. The respiratory function was assessed using a spirometer to measure forced vital capacity (FVC), first second of forced expiration (FEV1), FEV1/FVC, and peak expiratory flow n(PEF). The static balance function test was determined by the center of mass (COM), ankle angle range, hip angle range, sway parameters, and reciprocal compensatory index (RCI). Cognitive function was measured by applying MoCA-k. Results: Comparison of respiration functions between the two groups showed statistically significant differences in FVC, FEV1, FEV1/FVC, and PEFs (p<0.05). Cognitive abilities showed statistically significant differences due to higher cognitive skills in the control group as compared to the patient group (p<0.05). Most results of the static balance capability measurements showed statistically significant differences between the groups (p<0.05). However, no statistically significant differences were obtained for COM AP Range, Angle AP Range, RCI ML Range, and AP Range (p>0.05). Conclusion: The results of the current study indicate that patients suffering from pneumoconiosis have less cognitive ability and balance function as compared to healthy elderly people. Therefore, we expect an improvement in the balance ability and cognitive function through systematic management and strengthening lung function training to improve the quality of life of pneumoconiosis patients.

• Journal of Practical Agriculture & Fisheries Research
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• v.10 no.1
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• pp.29-41
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• 2008

This research was conducted to develop a technology transfer and farmer's extension of newly released technology of Bokto seeding method for crop and vegetable production based on the theory of Asian and Pacific Center for Transfer of Technology(APCTT). This technology has recently transferred to not only Korea but also other countries like North Korea, China, Japan, Taiwan, Russia and Africa(Cameroon, Sudan and South Africa) since 2005. It has known as a highly reduction of production cost in terms of labors, chemical fertilizer and pesticides as well as environmental friendly due to a deep and side banded placement of chemical fertilizer at basal application. In addition this technology was proven to a precision farming on sowing depth and mechanism of chemical application method and also highly resistant against disasters like typhoon, flooding, low temperature, drought and lodging due to silicate application. It has improved a constraints such as a poor seedling establishment, weed occurrence, lodging, low yield and poor grain and eating quality in the previous direct seeding methods but still have a problem in occurrence of weedy rice and ununiformed operation of wet or flooded soil condition. Also this technology has a limit in marketing and A/S system. Based on a theory of APCTT evaluation and analysis this technology may be more concentrated on establishment of a special cooperation team among researcher and scientists, extension workers, industry sections and governmental sectors in order to rapidly transfer this technology to farmer's field. Also there will be needed to operate a web site for this newly released technology to inform and exchange an idea, experiences and newly improved information. A feed back system might be operated in this technology as well to improve a technology under way on users' operation. Also user's manual will be internationally released and provided for farmer's instruction and training at field site.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.245-253
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• 2019

To evaluate the achievements of the Solar School Project that has been implemented in twelve African countries since 2013, a case study was implemented in Kenya and in Uganda to investigate networking activities, student accessibility to computers, the frequency of student computer use, the extent to which teaching quality was improved by the enhanced accessibility to ICT-based teaching and learning practices. The results showed the followings. First, Solar Schools have significantly improved the rates of enrollment, transferring, and school attendance. Second, Solar Schools have organized local and invitational training programs to build the capacities of teachers. Third, Solar Schools have facilitated change in neighboring schools and local communities. Fourth, the participants are required to have a clear vision, take ownership of the project, and make a commitment to continuing their individual efforts toward empowerment.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.49-56
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• 2023

Machine learning methods diversely applied to the Internet of Things (IoT) field have been successful due to the enhancement of computer processing power. They offer an effective way of detecting malicious intrusions in IoT because of their high-level feature extraction capabilities. In this paper, we proposed a novel feature selection method for malicious intrusion detection in IoT by using an evolutionary technique - Genetic Algorithm (GA) and Machine Learning (ML) algorithms. The proposed model is performing the classification of BoT-IoT dataset to evaluate its quality through the training and testing with classifiers. The data is reduced and several preprocessing steps are applied such as: unnecessary information removal, null value checking, label encoding, standard scaling and data balancing. GA has applied over the preprocessed data, to select the most relevant features and maintain model optimization. The selected features from GA are given to ML classifiers such as Logistic Regression (LR) and Support Vector Machine (SVM) and the results are evaluated using performance evaluation measures including recall, precision and f1-score. Two sets of experiments are conducted, and it is concluded that hyperparameter tuning has a significant consequence on the performance of both ML classifiers. Overall, SVM still remained the best model in both cases and overall results increased.

• Journal of Korean Clinical Nursing Research
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• v.16 no.2
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• pp.57-67
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• 2010

Purpose: The purposes of this study were to compare the level of perception and to identify factors associated with perception on patient safety culture among health care providers working in an operating room(OR). Methods: A cross-sectional survey design was used. Data were collected conveniently from 154 RNs and 116 physicians working in a tertiary hospital in Seoul. Patient safety culture was measured using "The Hospital Survey on Patient Safety Culture" developed by the Agency for Healthcare Research and Quality (AHRQ). Descriptive statistics, t-test, ANOVA, and Spearman rank correlation coefficients were used for statistical analysis with the SPSS version 17.0. Results: The perception level of nurses and physicians on patient safety culture was "moderate" (3.14). Compared to physicians, nurses showed a significantly lower perception on the items of "teamwork within units" (t=-6.904, p<.001) and "overall perception of patient safety" (t=-4.327, p<.001), but had a higher perception about "frequency of events reported" (t=2.769, p=.006). The physicians' professional positions, years of working experience, age, and working hour per week were identified as factors associated with patient safety culture. Conclusion: Level of perception on patient safety culture may vary among health care providers working in the OR. The study finding suggests that a tailored education and training strategies should be considered to develop an effective safety culture for healthcare professionals working in OR.

• Animal Bioscience
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• v.36 no.6
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• pp.980-989
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• 2023

Objective: Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a high-quality iris image from a constantly moving non-cooperative animal even when restrained properly. The aim of the study was to validate and identify Black Bengal goat biometrically to improve animal management in its traceability system. Methods: Forty-nine healthy, disease free, 3 months±6 days old female Black Bengal goats were randomly selected at the farmer's field. Eye images were captured from the left eye of an individual goat at 3, 6, 9, and 12 months of age using a specialized camera made for human iris scanning. iGoat software was used for matching the same individual goats at 3, 6, 9, and 12 months of ages. Resnet152V2 deep learning algorithm was further applied on same image sets to predict matching percentages using only captured eye images without extracting their iris features. Results: The matching threshold computed within and between goats was 55%. The accuracies of template matching of goats at 3, 6, 9, and 12 months of ages were recorded as 81.63%, 90.24%, 44.44%, and 16.66%, respectively. As the accuracies of matching the goats at 9 and 12 months of ages were low and below the minimum threshold matching percentage, this process of iris pattern matching was not acceptable. The validation accuracies of resnet152V2 deep learning model were found 82.49%, 92.68%, 77.17%, and 87.76% for identification of goat at 3, 6, 9, and 12 months of ages, respectively after training the model. Conclusion: This study strongly supported that deep learning method using eye images could be used as a signature for biometric identification of an individual goat.