• Korean Journal of Construction Engineering and Management
• /
• v.23 no.4
• /
• pp.3-14
• /
• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• Journal of the Society of Disaster Information
• /
• v.18 no.2
• /
• pp.374-385
• /
• 2022

Purpose: Even if a damage is applied to the dust of the construction site containing the first-class carcinogen, it is dismissed or 5~30% of the amount of noise damage compensation is paid., Because of such loopholes, some construction companies are neglecting the dust management of the construction site, and the damage of the workers and the residents in the construction site continues. Method: The purpose of this study is to examine the problems of the calculation criteria of damage compensation amount of construction site dust, the measurement of dust concentration, the analysis of measurement data (the data of electric signboard measuring device by the mining scattering method), the prediction and evaluation methods such as modeling, and to suggest improvement measures. Result: It is found that it is impossible to calculate the amount of damages from dust damage in the construction site by calculating the current dust damage compensation amount and dust concentration modeling and measurement. Conclusion: It will receive an application for compensation for damage within the site where damage is expected (about 100m in the straight line and the boundary line of the site), and present a method of calculating the amount of compensation that differentially evaluates dust damage to the degree of dust management and compliance with dust-related legal standards.

• Korean Association of Arts Management
• /
• no.53
• /
• pp.101-125
• /
• 2020

This paper presents the problems and improvement methods in estimating demand and benefit, which have been controversial in the feasibility study of building cultural facilities. Although there are justifications for supplying cultural facilities by expanding leisure time and increasing income, the economic burden from the insolvent operation after construction is high. Feasibility studies can prevent these problems in advance. In order to estimate the demand for cultural facilities, similar facilities were selected and the gravity model was used to estimate the demand. In the future, it is necessary to prepare the criteria for setting the reference facility to increase the accuracy of the demand estimation. In addition, in the case of cultural facilities constructed through feasibility study, it is necessary to induce and enforce the disclosure of operational data and information, and to establish a database so that it can be used as a reference facility for demand estimation in future feasibility study on cultural facility. Accurate benefit estimation requires multiple CVM surveys. In addition to the current CVM survey, this paper suggest that supplementary online non-face-to-face surveys is considered. Furthermore, this research suggests that the use of video media for explanation of alternative materials for cultural facilities to be constructed because the WTP may be excessive due to lack of alternatives for survey respondents in the current CVM survey.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.299-309
• /
• 2022

YouTube videos secure the latest trends in the field and provide viewers' preferences and non-preferences. This study analyzes the discussion of death in recent YouTube videos and explores the relationship between life, well-dying, and well-aging. The purpose of this study is to contribute to the establishment of a healthy life for Koreans by exploring relevance. The survey period and target are 13 videos uploaded on YouTube from 2019 to 2021. As a result of the investigation, it was possible to encompass 25 speakers who were discussing death centered on doctors. Video speakers in charge of various areas conducted various discussions on death from the perspective of experts. The key points are the true value of life, death that you don't need to fear, the importance of hope, the naturalness of death, etc. 11 expert perspectives are measured into 4 types based on 4 criteria: life, death, well-aging, and well-dying. Despite the limitations of studying 13 extracted at a specific time, this study revealed that YouTube videos are a place for free communication. It can contribute in part to maintaining and improving the health of our lives in the future and researching convergence.

• Ecology and Resilient Infrastructure
• /
• v.9 no.1
• /
• pp.24-35
• /
• 2022

For water quality management, it is necessary to continuously improve the forecasting by analyzing the past water quality, and a Data-driven model is emerging as an alternative. Because the Data-driven model is built based on a wide range of data, it is essential to apply the correlation analysis method for the combination of input variables to obtain more reliable results. In this study, the Gamma Test was applied as a preceding step to build a faster and more accurate data-driven water quality prediction model. First, a physical-based model (HSPF, EFDC) was operated to produce daily water quality reflecting the complexity of the watershed according to various hydrological conditions for Paldang Dam. The Gamma Test was performed on the water quality at the water quality prediction site (Paldangdam2) and major rivers flowing into the Paldang Dam, and the method of selecting the optimal input data combination was presented through the analysis results (Gamma, Gradient, Standar Error, V-Ratio). As a result of the study, the selection criteria for a more efficient combination of input data that can save time by omitting trial and error when building a data-driven model are presented.

• Korean Journal of Construction Engineering and Management
• /
• v.23 no.3
• /
• pp.74-82
• /
• 2022

With the introduction of proptech, this study aims to find out the changes and necessity of introducing blockchain technology, one of the most popular technologies, in real estate electronic transactions. In addition, it is intended to develop evaluation indicators that classify newly created values within real estate electronic transactions and calculate the relative importance of each value area through technology application. To this end, the value that can be created when applying blockchain technology to real estate electronic transactions was classified according to the hierarchy, and considering that the evaluation criteria are complex and the importance can be measured differently depending on various factors, an analysis was conducted according to the AHP method for experts in practical and academic fields. As a result of the analysis, general value showed the highest importance in the first dimension, and digitalization of real estate information showed the highest importance in the second dimension.

• Journal of Food Hygiene and Safety
• /
• v.38 no.4
• /
• pp.193-201
• /
• 2023

Antimicrobials in human medicine are classified by The World Health Organization (WHO) into three groups: critically important antimicrobials (CIA), highly important antimicrobials (HIA), and important antimicrobials (IA). CIA are antibiotic classes that satisfy two main criteria: that they are the sole or the only available limited therapeutic option to effectively treat severe bacterial infections in humans (Criterion 1), and infections where bacteria are transmitted to humans from non-human sources or have the potential to acquire resistance genes from non-human sources (Criterion 2). WHO emphasizes the need for cautious and responsible use of the CIA to mitigate risk and safeguard human health. Specific antimicrobials within the CIA with a high priority for management are reclassified as "highest priority critically important antimicrobials (HP-CIA)" and include the 3^rd generation of cephalosporins and the next generation of macrolides, quinolones, glycopeptides, and polymyxins. The CIA list is the scientific basis for risk assessment and risk management policies that warrant using antimicrobials to reduce antimicrobial resistance in several countries. In addition, the CIA list ensures food safety in the food industry, including for the popular food chain companies McDonald's and KFC. The continuous update of the CIA list reflects the advancement in research and emerging future challenges. Thus, active and deliberate evaluation of antimicrobial resistance and the construction of a list that reflects the specific circumstances of a country are essential to safeguarding food security.

• Knowledge Management Research
• /
• v.23 no.4
• /
• pp.207-231
• /
• 2022

The purpose of this study is to identify the relationship between PJF(person-job fit) and members' organizational commitment focusing on the mediating factor. Previous Studies have found that person-job fit has positive effect on organizational commitment, and self-efficacy has positive effect on the organizational commitment. On the other hand, the studies to identify whether self-efficacy has a role in mediation between PJF and the members' organizational commitment has been insufficient. To that end, we considered self-efficacy as the mediator of the relationship between PJF and organizational commitment. We used the data which to perform national policy research from 690 workers at a small or medium firm. As a result of verifying the suitability of the research model, it was suitable for the acceptance criteria. Besides the hierarchical regression analysis, bootstrapping was conducted to verify significance of mediating effect of self-efficacy. The main results are as follows. First, the variables, PJF, self-efficacy and organizational commitment showed a positive correlation. Second, PJF has a positive effect on self-efficacy and organizational commitment significantly. Also self-efficacy has a positive effect on organizational commitment significantly. Third, the mediating effect of self-efficacy in the relationship between PJF and organizational commitment is significant. In order to improve person-job fit, this study suggested that SMEs' owners should consider job rotation system and career development program for employees. Based on this study result and implications, we discussed limit of research and direction for future research.

• Journal of the Korean Society for information Management
• /
• v.39 no.1
• /
• pp.91-117
• /
• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

• Korean Association of Arts Management
• /
• no.52
• /
• pp.39-73
• /
• 2019

The purpose of this study is to explore the issues and alternatives in the promotion of space and exhibition support projects in visual arts, and to suggest an applicable direction of the government grant program. For this study, FGI and in-depth interviews were conducted in the direct beneficiaries of the grant program, the staff of the grant program, and the group of visual arts expert. As a result, the deliberation and selection of the support project should be carried out with sufficient time in consideration of the specificity of the support project. And the project requires to divide into two kinds of the projects based on the understanding of the social role and differentiation of non-profit exhibition spaces and private art museums. For the grant application and assessments, a long-term support is necessary to bring the capability and issues in efficient allocation of the budget, flexibility of budget item, and the budget shortfalls. Furthermore, the reliability between the grant program and beneficiaries needs to form a healthy partnership, and the evaluation criteria and eNARADOEUM system should be more practical and rationally established. Through this analysis, the implications of understanding the specificity of visual arts support projects, establishment of sustainable visual arts creation policies, and budget utilization were derived. Consequently, cultural and artistic support projects were directed to place more emphasis on efficiency than control, direction considering the position of consumers than suppliers, and long-term business planning rather than short-term perspective.