• Journal of the Korea Computer Graphics Society
• /
• 제29권3호
• /
• pp.85-92
• /
• 2023

Recently, interest in artificial intelligence has increased due to the development of artificial intelligence fields such as ChatGPT and self-driving cars. However, there are still many unknown elements in training process of artificial intelligence, so that optimizing the model requires more time and effort than it needs. Therefore, there is a need for a tool or methodology that can analyze the weight changes during the training process of artificial intelligence and help out understatnding those changes. In this research, I propose a visualization system which helps people to understand the accumulated weight changes. The system calculates the weights for each training period to accumulates weight changes and stores accumulated weight changes to plot them in 3D space. This research will allow us to explore different aspect of artificial intelligence learning process, such as understanding how the model get trained and providing us an indicator on which hyperparameters should be changed for better performance. These attempts are expected to explore better in artificial intelligence learning process that is still considered as unknown and contribute to the development and application of artificial intelligence models.

• Journal of Service Research and Studies
• /
• 제11권1호
• /
• pp.45-58
• /
• 2021

Requirements engineering can be seen as proceeding with various processes and activities such as extraction, analysis, specification, management, and verification without temporal and spatial constraints in the development environment of information systems that are becoming large and decentralized. Developing requirements well and conducting continuous evaluation and management is the shortcut to success in project management, and it is recognized as a very important matter in relation to requirements in the information system audit. When we conduct information system audit and conducting projects subject to audit, we need to improve the required engineering aspect. Therefore, this study derives inspection items suitable for the target project by referring to the audit inspection manual and audit inspection guide when conducting the current audit, and relates to the required engineering aspect among the contents of the inspection guide for each business type that is the basis for deriving the inspection items were derived for each audit point/audit area for the project management and quality assurance project type corresponding to the inspection items. The suitability of the extracted occupation items was verified through a questionnaire survey by experts.

• 한국노년학
• /
• 제31권2호
• /
• pp.243-258
• /
• 2011

The purpose of this study is to achieve an understanding of psychosocial needs of elderly female residents living in the nursing home and their evaluation about psychosocial services from their perspectives. In-depth interview by constructivist inquiry was conducted to explore residents' needs. Purposive sampling was used to ensure that participants could communicate verbally and share their experience of living in the nursing home. 8 female residents who cognitively intact and aged 65 or over were invited to participate in this study. Data collection was conducted from January 1 to 5 in 2008. The interviews were recorded and transcribed. Constant comparison method was used for data analysis. Levels of psychological needs were identified as four categories-satisfied needs; unmet needs; hidden needs; lack of expression of needs. While nursing home generally focuses on medical care provision, residents' psychosocial needs tend to be relatively overlooked. The satisfaction of psychosocial needs is significant in guaranteeing well-being in later life.

• Korean Journal of Culture and Social Issue
• /
• 제19권2호
• /
• pp.109-131
• /
• 2013

It is expected that expanded use of smartphone and enhanced information technology will enable smartwork to change individuals and organizations. Smartwork is expected to allow people to perform their roles without barriers of time and space. However, people tend not to accept and actively utilize smartwork. The present study is to examine how important flexibility-willingness is for performance outcome in the context of smartwork. It was hypothesized that flexibility-willingness mediates between perceived smartwork usefulness and work-family conflict. It was also hypothesized based on technology acceptance model that task interdependence and process control moderates the relationship between flexibility-willingness and work-family conflict because the relationship is not consistent. The results show that the mediation effect of the flexibility-willingness is statistically significant. The moderator effects of task interdependence was marginal proved but process control wasn't. From these results, we discussed the theoretical implications of findings, limitations, suggestions for future research in discussion.

• Korean Journal of Remote Sensing
• /
• 제40권1호
• /
• pp.71-80
• /
• 2024

In this study, a proposed ensemble learning technique aims to enhance the semantic segmentation performance of images captured by Unmanned Aerial Vehicles (UAVs). With the increasing use of UAVs in fields such as urban planning, there has been active development of techniques utilizing deep learning segmentation methods for land cover segmentation. The study suggests a method that utilizes prominent segmentation models, namely U-Net, DeepLabV3, and Fully Convolutional Network (FCN), to improve segmentation prediction performance. The proposed approach integrates training loss, validation accuracy, and class score of the three segmentation models to enhance overall prediction performance. The method was applied and evaluated on a land cover segmentation problem involving seven classes: buildings,roads, parking lots, fields, trees, empty spaces, and areas with unspecified labels, using images captured by UAVs. The performance of the ensemble model was evaluated by mean Intersection over Union (mIoU), and the results of comparing the proposed ensemble model with the three existing segmentation methods showed that mIoU performance was improved. Consequently, the study confirms that the proposed technique can enhance the performance of semantic segmentation models.

• Environmental and Resource Economics Review
• /
• 제32권4호
• /
• pp.239-266
• /
• 2023

This study applied the contingent valuation method (CVM) to measure the benefits from an urban liner park that will be created as part of the Gyeongin Expressway downgrade project by Inchon metropolitan city government. The Incheon city government plans to create a liner park (10.5 km) in the middle of the downgraded road to provide leisure and recreation services to residents, and plans to remove retaining walls and soundproof walls to improve the urban residential environment. Considering the characteristics of a liner park that spans several districts in Incheon city and the downgraded road that will be passed by residents of nearby cities as well as Incheon residents, the target population included residents of part of Seoul and several cities surrounding Incheon. In a CVM survey of 1,000 respondents conducted in April 2018, about 70% of the respondents perceived this project positively. About 50% of 757 respondents, excluding protest bids respondents, were willing to pay additional taxes for this project. The more the respondents favored the creation of a linear park and the more they thought that this project would improve the surrounding residential environment, the more positively they evaluated the additional tax payment. The average annual willingness to pay for this project was about 15,300 won for Incheon residents and 6,800 won for residents of Seoul metropolitan area. It is interesting to observe that residents of Seoul metropolitan area, who are not directly affected by this project, were willing to pay a considerable amount for this project.

• Journal of Internet Computing and Services
• /
• 제24권6호
• /
• pp.107-117
• /
• 2023

It must be possible to assess how combat actions taking place in cyberspace affect the military's major mission systems and weapon systems. In order to analyze the mission impact caused by a cyber attack through cyber M&S, the target mission system and cyber warfare elements must be built as a model and a scenario for simulation must be authored. Many studies related to mission impact analysis due to cyber warfare have been conducted focusing on the United States, and existing studies have authored separate scenarios for physical battlefields and cyber battlefields. It is necessary to build a simulation environment that combines a physical battlefield model and a cyber battlefield model, and be able to integrate and author mission scenarios and cyber attack/defense scenarios. In addition, the physical battlefield and cyber battlefield are different work areas, so authoring two types of scenarios for simulation is very complicated and time-consuming. In this paper, we propose a method of using mission system information to prepare the data needed for scenario authoring in advance and using the pre-worked data to author an integrated scenario. The proposed method is being developed by reflecting it in the design of the scenario authoring tool, and an integrated scenario authoring in the field of counter-fire warfare is being performed to prove the proposed method. In the future, by using a scenario authoring tool that reflects the proposed method, it will be possible to easily author an integrated scenario for mission impact analysis in a short period of time.

• Sim-seong Yeon-gu
• /
• 제38권1호
• /
• pp.45-111
• /
• 2023

This paper examines the apparition of the Virgin Mary revealed in Rue du Bac, Paris, France, in 1830, from a perspective of analytical psychology. To do so, it amplifies the archetypal motifs manifested in the images of the Virgin Mary of Rue du Bac by introducing the medieval alchemical picture titled "Glorification of the body portrayed as the coronation of the Virgin Mary" from Reusner's Pandora (1588). This image of the Virgin Mary is full of archetypal motifs that show the process and end result of individuation, which is the main idea of Jungian psychology. These symbols that depict the individuation process, both in Reusner's Pandora and in the Mary of Rue du Bac, are expressions of mythologems, constituent elements of the collective unconscious. Jung noted that these mythologems are the ultimate base and matrix of all religions. Through examining the archetypal motifs, which appear in the Mary of Rue du Bac, the apparition of the Mary turns out to be the revelation of the archetypal image of the Self in a space-time continuum, which is constellated in the collective unconscious. That is, an archetypal figure revealed itself to a witness' ego-consciousness to whom a space-time continuum functions as a cognitive category. The Mary of Rue du Bac represents the union of the opposites of divinity and humanity, which lacks in the symbolism of the Cross in Christianity. In this regard, she is an image of the new savior, who opens the new aeon of the Aquarius. The revealed image of Mary shows that divinity originates from the inner realm of the human psyche, that corporeal human beings are the matrix in which the divine incarnates, and that human being is the subject of psychological redemption. The image of Mary awakens us to the value of divinity in the human psyche in the times when the spiritual values Christianity has retained declines drastically.

• Journal of Dental Rehabilitation and Applied Science
• /
• 제39권4호
• /
• pp.214-221
• /
• 2023

In order to fabricate stable dentures in patients with severe resorption of residual ridges, various factors must be considered. One of them is the neutral zone, which is defined as the potential region in which the pressure of the tongue outward in the oral cavity and the pressure of the cheeks and lips directed inward from the outside of the oral cavity equalize during functioning. In patients with severe ridge resorption, if the teeth are usually arranged above the residual ridge, the teeth are located on the lingual side rather than the original position. Therefore, the functional space of the tongue is invaded, the tongue is positioned backward, and the sealing of the lingual border is broken, which acts as a factor reducing the maintenance of denture. In addition, it is also important for the stability of dentures to assume an interalveolar crest line connecting the maxillary and mandibular ridge crests, and to arrange the maxillary and mandibular artificial teeth to match the masticatory force to the interalveolar crest line. Therefore, good clinical results were obtained by fabricating dentures for the patient with poor alveolar residual ridge using neutral zone impression and ridge relationship analysis.

• Journal of Korea Water Resources Association
• /
• 제57권5호
• /
• pp.321-332
• /
• 2024

Understanding the status of surface cover in riparian zones is essential for river management and flood disaster prevention. Traditional survey methods rely on expert interpretation of vegetation through vegetation mapping or indices. However, these methods are limited by their ability to accurately reflect dynamically changing river environments. Against this backdrop, this study utilized satellite imagery to apply the Random Forest method to assess the distribution of vegetation in rivers over multiple years, focusing on the Naeseong Stream as a case study. Remote sensing data from Sentinel-2 imagery were combined with ground truth data from the Naeseong Stream surface cover in 2016. The Random Forest machine learning algorithm was used to extract and train 1,000 samples per surface cover from ten predetermined sampling areas, followed by validation. A sensitivity analysis, annual surface cover analysis, and accuracy assessment were conducted to evaluate their applicability. The results showed an accuracy of 85.1% based on the validation data. Sensitivity analysis indicated the highest efficiency in 30 trees, 800 samples, and the downstream river section. Surface cover analysis accurately reflects the actual river environment. The accuracy analysis identified 14.9% boundary and internal errors, with high accuracy observed in six categories, excluding scattered and herbaceous vegetation. Although this study focused on a single river, applying the surface cover classification method to multiple rivers is necessary to obtain more accurate and comprehensive data.