• The Korean Journal of Rehabilitation Nursing
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• v.8 no.2
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• pp.157-164
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• 2005

Purpose: To develop a substantive theory that represents caring experience from their the spouses perceived by hemodiialysis patients. Method: Grounded theory method guided the data collection and analysis. A purposeful sample of 15 hemodiialysis patients participated from April, 2005 to September, 2005. The data were collected through in-depth interviews. All interviews were audio taped and transcribed verbatim. Constant comparative analysis were performed simultaneously. Result: The core category on caring experience from their the spouses perceived by hemodialysis patients was identified "Re-establishment for life". The process was categorized into four stage, "Escaping", "Accepting", "Enduring", "Transcending". Conclusion: This study provides a framework for the development of individualized nursing intervention to care for the hemodialysis patients.

• Journal of the Korean Institute of Rural Architecture
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• v.7 no.3
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• pp.68-75
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• 2005

'Health' trend like the latest fashion that spread to present society that elevate a lot of interests in qualitative elevation of life by rapid economic growth did to derive vocabulary called 'well-being' over all field. More and more comprehensive new type word 'LOHAS' appear to this. I wish to present basic data that need in study of healthy eco dwelling through making comparative study of existing study, literature analysis, and application type and planning elements etc of healthy dwelling. This study is preceded in following steps and contents. First, make conceptional definition for similarity words regarding healthy eco dwelling through existing study and internet search data etc, and analysis comprehensive meaning of 'Health' and 'Healthy Dwelling'. Second, I have done arrangement examination synthetically about healthy eco dwelling, wellbeing house, and ubiquitous future dwelling by paradigm of spread healthy dwelling. Third, examine application type of healthy dwelling that appear present and arrange analyzing planning elements is applied in the types.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.217-221
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• 2022

The article analyzes the main theoretical approaches to the formation of managerial competencies and establishes the degree of development of the problem. The content of the concept of "managerial competence" has been clarified, to determine the structure of managerial competencies of a future specialist in the education system and indicators of the formation of managerial competencies. The organizational and pedagogical conditions necessary for the effective process of forming the managerial competencies of future specialists are revealed. The following research methods were used in the work: theoretical (analysis of regulatory documents and scientific literature on the problem under study, comparison, generalization, modeling), empirical (diagnostics of the level of formation of managerial competencies of students of the system, questioning, observation, peer review, comparative qualitative and quantitative analysis of diagnostic results the level of formation of managerial competencies).

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.143-148
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• 2022

Component-based software development (CBD) is a methodology that has been embraced by the software industry to accelerate development, save costs and timelines, minimize testing requirements, and boost quality and output. Compared to the conventional software development approach, this led to the system's development being completed more quickly. By choosing components, identifying systems, and evaluating those systems, CBSE contributes significantly to the software development process. The objective of CBSE is to codify and standardize all disciplines that support CBD-related operations. Analysis of the comparison between component-based and scripting technologies reveals that, in terms of qualitative performance, component-based technologies scale more effectively. Further study and application of CBSE are directly related to the CBD approach's success. This paper explores the introductory concepts and comparative analysis related to component-based software engineering which have been around for a while, but proper adaption of CBSE are still lacking issues are also focused.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.119-124
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• 2024

Component-based software development (CBD) is a methodology that has been embraced by the software industry to accelerate development, save costs and timelines, minimize testing requirements, and boost quality and output. Compared to the conventional software development approach, this led to the system's development being completed more quickly. By choosing components, identifying systems, and evaluating those systems, CBSE contributes significantly to the software development process. The objective of CBSE is to codify and standardize all disciplines that support CBD-related operations. Analysis of the comparison between component-based and scripting technologies reveals that, in terms of qualitative performance, component-based technologies scale more effectively. Further study and application of CBSE are directly related to the CBD approach's success. This paper explores the introductory concepts and comparative analysis related to component-based software engineering which have been around for a while, but proper adaption of CBSE are still lacking issues are also focused.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.15-31
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• 2023

In this study, we propose a novel approach to analyze big data related to patents in the field of smart factories, utilizing the Latent Dirichlet Allocation (LDA) topic modeling method and the generative artificial intelligence technology, ChatGPT. Our method includes extracting valuable insights from a large data-set of associated patents using LDA to identify latent topics and their corresponding patent documents. Additionally, we validate the suitability of the topics generated using generative AI technology and review the results with domain experts. We also employ the powerful big data analysis tool, KNIME, to preprocess and visualize the patent data, facilitating a better understanding of the global patent landscape and enabling a comparative analysis with the domestic patent environment. In order to explore quantitative and qualitative comparative advantages at this juncture, we have selected six indicators for conducting a quantitative analysis. Consequently, our approach allows us to explore the distinctive characteristics and investment directions of individual countries in the context of research and development and commercialization, based on a global-scale patent analysis in the field of smart factories. We anticipate that our findings, based on the analysis of global patent data in the field of smart factories, will serve as vital guidance for determining individual countries' directions in research and development investment. Furthermore, we propose a novel utilization of GhatGPT as a tool for validating the suitability of selected topics for policy makers who must choose topics across various scientific and technological domains.

• Journal of radiological science and technology
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• v.44 no.5
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• pp.443-449
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• 2021

In this study, the purpose is to present the foot inclination angle for realizing an image similar to that of the existing examination method and to present the clinical usefulness of the new examination method through comparison between the existing examination method and the newly designed standing foot oblique projection. A foot phantom was used, and the magnification of the image according to the angle was quantitatively evaluated by attaching a nut to the position of the cuboid of the phantom. The internal oblique image acquired using a 30° wedge was set as the standard image. And that image was compared with the images acquired by changing the angle of the foot from 20° to 65° at intervals of 5°. Image evaluation was performed by 3 radiological technologists, and qualitative evaluation using a Likert 5-point scale for evaluation items of true oblique view and quantitative evaluation of the value obtained by measuring the diameter of a nut in each image were performed as image evaluation. For data analysis, reliability analysis between the measure and comparative analysis of the average value for each angle were performed. The qualitative evaluation score for each image was 4.5 to 5 points for most questions in the case of the standard image. And 4 points or less for most questions in the images with a foot angle of 45° or less, and an evaluation score close to the standard image was obtained in the image of 50° or more. And in the quantitative evaluation, the diameter of the nut was measured to be 9.28~9.56 mm. The qualitative evaluation showed a reliability of 0.95~1.0 and the quantitative evaluation was 0.62. As a result of comparing and analyzing the average of the quantitative and qualitative average values for each angle image, the group with the average value most similar to the standard image was images obtained at 55° and 60°, and in the post-analysis, the images of both groups were the same group as the standard image(p<0.01). As a result of this study, it was found that the angle of inclination of the foot for realizing the image most similar to the existing image in the standing foot oblique projection is 55°~60°. In addition, if this test method is applied to the clinic, it is believed that it will help prevent safety accidents such as falls during the test and improve test efficiency by minimizing the movement of patients for the test.

• Korean Journal of Computational Design and Engineering
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• v.21 no.4
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• pp.397-408
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• 2016

VR and AR are widely used in many applications to provide more immersive visualization and natural interaction for learning and experiencing virtual but realistic tasks. Energy saving is considered as one of the most important issues throughout the world in order to overcome global warming and energy crisis. In particular, the awareness of home energy saving is regarded as a first step to deal with this issue. In this paper, we suggest a new learning environment using virtual and augmented reality (VR/AR) for home energy saving experience. In particular, it presents a comparative study of the user experience in home energy awareness using immersive virtual reality and mobile augmented reality. The first person user experience using immersive VR wearing head mounted display (HMD) and the third person user experience using mobile AR are implemented and systematically compared with each other in terms of the learning effect of energy saving and qualitative usability. Implementation results will be given to show the advantage and effectiveness of the proposed approach.

• Journal of the Korean housing association
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• v.4 no.1
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• pp.17-27
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• 1993

The Japanese-style houses built in the colonial age have changed through extension or remodeling since Koreans started residence after the liberation of the country. The objective of this study is to find out the influene of the cultural differences of the two nations on the living-style of the two nations from the comparative living-style viewpoint. 26 Japaneses-style houses built in the Ulsan city from the Open-Port year to 1945 were studied with the field survey method. The qualitative and the quantatative analysis were used. The results of this study are as follows. 1) Because of new materials and conveniences, kitchen, bathroom and toilet have changed into standing-type kitchen, bathroom and bathtub of cement and tile, and flush toilet respectively. The indoor toilets were removed and outdoor ones replaced them instead. 2) In the residential space the Koreans have altered the Dadami-room to the Ondol-room becaus of their own heating wywtem, installed glass or wooden doors for the seperation of rooms, enlarged the indoor space throuh removing walls, and developed new uasge of the Dokonoma space. The room of Zasici is most frequently used as the Korean-style Anbang. The wide space called 'living room' or 'maru' near the entrance hall. In conclusion, the guest-oriented Zasiki-style plan of the Japanese-style houses has remodeled into the family oriented Anbang-style plan.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.107-120
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• 2014

This study proposes a novel recommender system using the structural hole analysis to reflect qualitative and emotional information in recommendation process. Although collaborative filtering (CF) is known as the most popular recommendation algorithm, it has some limitations including scalability and sparsity problems. The scalability problem arises when the volume of users and items become quite large. It means that CF cannot scale up due to large computation time for finding neighbors from the user-item matrix as the number of users and items increases in real-world e-commerce sites. Sparsity is a common problem of most recommender systems due to the fact that users generally evaluate only a small portion of the whole items. In addition, the cold-start problem is the special case of the sparsity problem when users or items newly added to the system with no ratings at all. When the user's preference evaluation data is sparse, two users or items are unlikely to have common ratings, and finally, CF will predict ratings using a very limited number of similar users. Moreover, it may produces biased recommendations because similarity weights may be estimated using only a small portion of rating data. In this study, we suggest a novel limitation of the conventional CF. The limitation is that CF does not consider qualitative and emotional information about users in the recommendation process because it only utilizes user's preference scores of the user-item matrix. To address this novel limitation, this study proposes cluster-indexing CF model with the structural hole analysis for recommendations. In general, the structural hole means a location which connects two separate actors without any redundant connections in the network. The actor who occupies the structural hole can easily access to non-redundant, various and fresh information. Therefore, the actor who occupies the structural hole may be a important person in the focal network and he or she may be the representative person in the focal subgroup in the network. Thus, his or her characteristics may represent the general characteristics of the users in the focal subgroup. In this sense, we can distinguish friends and strangers of the focal user utilizing the structural hole analysis. This study uses the structural hole analysis to select structural holes in subgroups as an initial seeds for a cluster analysis. First, we gather data about users' preference ratings for items and their social network information. For gathering research data, we develop a data collection system. Then, we perform structural hole analysis and find structural holes of social network. Next, we use these structural holes as cluster centroids for the clustering algorithm. Finally, this study makes recommendations using CF within user's cluster, and compare the recommendation performances of comparative models. For implementing experiments of the proposed model, we composite the experimental results from two experiments. The first experiment is the structural hole analysis. For the first one, this study employs a software package for the analysis of social network data - UCINET version 6. The second one is for performing modified clustering, and CF using the result of the cluster analysis. We develop an experimental system using VBA (Visual Basic for Application) of Microsoft Excel 2007 for the second one. This study designs to analyzing clustering based on a novel similarity measure - Pearson correlation between user preference rating vectors for the modified clustering experiment. In addition, this study uses 'all-but-one' approach for the CF experiment. In order to validate the effectiveness of our proposed model, we apply three comparative types of CF models to the same dataset. The experimental results show that the proposed model outperforms the other comparative models. In especial, the proposed model significantly performs better than two comparative modes with the cluster analysis from the statistical significance test. However, the difference between the proposed model and the naive model does not have statistical significance.