• Journal of the Korea Institute of Building Construction
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• v.24 no.4
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• pp.471-482
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• 2024

Modular construction, a prominent method in the evolving construction industry, necessitates robust quality control for successful implementation. This study investigates the potential of 3D scanning technology for enhancing quality control processes in modular building construction. Through an IPA analysis of major construction projects across factory production, transportation, and on-site stages, the study evaluates the current state of 3D scanning application in modular construction quality control. Results indicate a high demand for 3D scanning data across various quality control aspects. However, certain limitations in technology and practical application were identified. The findings of this research contribute to the advancement of 3D scanning technology in modular construction and inform future research on cutting-edge quality control strategies.

• Korean Journal of Environment and Ecology
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• v.37 no.4
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• pp.273-288
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• 2023

Although many studies have been conducted on techniques and effects that can be applied to forest meditation in domestic forest healing meditation research, there has been little research on the space where forest meditation takes place. Nevertheless, a meditation space is not just a place concept but a forest environment element responsible for the healing function of a forest, i.e., a place containing healing factors, and can be an essential clue to the healing mechanism. Therefore, to determine whether a healing forest meditation space is suitable for meditation, this study selected the attribute items of the meditation space using the Delphi expert survey and then surveyed the user satisfaction of the healing forest meditation space using the IPA (Importance Performance Analysis) technique. The survey was conducted from August to November 2022, targeting 315 adults who used the forest meditation space at the National Center for Forest Therapy, the Saneum Healing Forest, and the Jathyanggi Pureunsup Arboretum in Gyeonggi Province. The result of the IPA analysis showed the average satisfaction with the forest meditation space was relatively high at 4.33 points on a 5-point Likert scale (4.33 points for the National Center for Forest Therapy, 4.34 points for the Saneum Healing Forest, and 4.37 points for the Jathyanggi Pureunsup Arboretum), indicating that the three healing forest meditation spaces were suitable for forest meditation. Satisfaction with the "Sounds of nature" was high in all three forests. On the other hand, all three forests showed a relatively low satisfaction with "Quietness," indicating it to be a priority problem to be addressed. Also, an open-ended questionnaire survey showed that the mediation space's natural elements, such as natural sounds, scenery, air, forest spaces, and scents, had a higher positive impact on meditation satisfaction than artificial elements, such as facilities. Therefore, it is essential to secure sound resources such as the sound of water and birds around the meditation space, and it is also necessary to consider ways to create a meditation forest in an independent area to avoid encounters with visitors and allow only participants in the forest healing meditation program to enter to increase satisfaction with forest meditation.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.67-74
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• 2024

In this paper, we present a study aimed at analyzing how different rainfall measurement methods affect the performance of reservoir water level predictions. This work is particularly timely given the increasing emphasis on climate change and the sustainable management of water resources. To this end, we have employed rainfall data from ASOS, AWS, and Thiessen Network-based measures provided by the KMA Weather Data Service to train our neural network models for reservoir yield predictions. Our analysis, which encompasses 34 reservoirs in Jeollabuk-do Province, examines how each method contributes to enhancing prediction accuracy. The results reveal that models using rainfall data based on the Thiessen Network's area rainfall ratio yield the highest accuracy. This can be attributed to the method's accounting for precise distances between observation stations, offering a more accurate reflection of the actual rainfall across different regions. These findings underscore the importance of precise regional rainfall data in predicting reservoir yields. Additionally, the paper underscores the significance of meticulous rainfall measurement and data analysis, and discusses the prediction model's potential applications in agriculture, urban planning, and flood management.

• Journal of Navigation and Port Research
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• v.28 no.6
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• pp.481-489
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• 2004

Ship collisions and grounding continue to occur regardless of continuous efforts to prevent such accidents. With the increasing demand for safety at sea and for protection of the environment, it is of crucial importance to be able to reduce the probability of accidents, assess their consequences and ultimately minimize or prevent potential damages to the ships and the marine environment. Numerical simulations for actual collision problem are conducted with a special attention with respect to finite element size, fracture criteria and material properties, which require a careful consideration to improve the accuracy. A parametric analysis varying colliding speed, angle, design loading condition is conducted using nonlinear finite element analysis method for 46,00 dwt Product/chemical carrier. The relationship between the absorbed energy and indentation are derived quantitatively using the insights observed from this study, and a novel design concept for assessing the anti-collision performance are proposed.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.59-68
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• 2021

As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.121-130
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• 2015

Technology based start-up is actively encouraged for job creation and economic performance in Korea. The Korean government has implemented a variety of policy for regulatory improvement to vitalize technology based start-up. In order to maximize the effectiveness of the policy for regulatory improvement should be actively reflect the opinions of policy beneficiaries. In this study, The importance of "The progress plan for regulation improvement about vitalization of start-up(25 contents)" published by the government was analyzed using AHP method. The object of study is the beneficiary of the policy(CEO of ICT sector). Analysis showed that the 25 contents were classified into four(1 - expectation of effect, 2 - urgency of system enforcement, 3 - complement of deficiencies, 4 - after careful consideration). This study has a academic significance to quantitative analysis about importance of policy for regulatory improvement. Also, It can be utilized when policy making and practice about technology based start-up.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.205-222
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• 2013

One of the recent important issues in IT fields is the convergence. It had been simply focused on functional convergence of technologyies. However the convergence in terms of businesses or services also has been made in recent years. The convergence between broadcasting and telecommunication industries can be possible because the e-transformation of broadcasting industry based on digital technology such as multimedia and multi-channel, can be combined with the high speed telecommunication network. It is giving a birth of various convergence services such as IPTV. IPTV is a kind of new service that is combined with the convergence of network, contents, and device. Nevertheless the controversy about the scope and the value of this new convergence service has constantly been raised; for example, what is the difference between IPTV and Internet TV? or what are the benefits that customers can have? This study measured the expectation level and the cognitive level of users before and after using the service and analyzed the gap between the importance and the satisfaction of the service. From this study, we proposed the priority of each function by analysing Importance-Performance Analysis(IPA) method to suggest required functions of IPTV service based on N-Screen technology. This study will identify the gap of awareness level between service providers and end users for the functions of broadcasting and telecommunications convergence service and suggest a solution enhancing user satisfaction.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• Journal of Korean Academy of Nursing
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• v.8 no.1
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• pp.152-162
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• 1978

The desire to maintain health is increasing, consequently the role of nursing which has as one chief aim the solving of man′s basic problems is more and more important. Today, in spite of a growing concern about the nursing activities which nurses provide for individual human having specific needs, clinically in fact, it is questionable that individual′s expectation of nursing activities agrees with nurse′s performance of nursing activities. In this study the importance and agreement of the importance of the nursing activities during the hospitalized puerperal period as viewed by women in the puerperal period and by nurses caring for them, were assessed. The present study was undertaken in an attempt to furnish the basic data for expediting the progress of research activities in this area and further to be helpful in planning maternity nursing practice. The study population defined and selected was nurses (13) caring for women in the puerperal period and doing duty on obstetric & gynecologic ward at Y. hospital, and the women in puerperal period (39) as sum of 3 women selected by each nurse during the period of May 13th-June 4th 1976. The study data was collected by the direct interview method based on the questionnaire which the investigator made out. The study result was analyzed by percentage, t - test. The findings can be summarized as follows: 1. General characteristics of nurses doing duty on puerperal ward: a. Nurses′average age was 24.8 years old. b. 84.6% had educational background of 4 years of college. c. 69.2% had a religion. d. 53.8% were married. e. 53.8% had clinical experience of 1 year -3 years. f, 61.5% did duty on puerperal ward during 1 year -3 years. g. 46.2% desired to do duty on obstetric ? gynecologic ward. 2. General characteristics of the women who were studied during their puerperal period: a. Women′s average age was 26.4 years old. b. 79.5% had educational background above high school. c. 56.4% had a religion. d. 84.6% had living standard above medium. e. 89.7% had no occupation. f, 53,8% had previous hospitalization experience. g. 56.4% had previous delivery experience. 3. Examining the importance of 39 nursing activities during puerperal period selected by investigator, studied group of women considered that the most important nursing activity was "Record precisely about condition, medical treatment and nursing activity results etc". Nurses considered that the most important nursing activity was "Notice whether having pain and care for that". Both groups considered that the least important nursing activity was "Talk with her about topics such as news, hobbies, other interests". 4. Examining the importance of nursing activities in 4 specific categories, studied group of women considered that the most important nursing activity in physical nursing category was "Be sure of safety measure to prevent accidents, injuries", and nurses considered that the most important nursing activity was "Make her sleep and rest sufficiently". Studied group of women considered that the most important nursing activity in psychological category was "Explain about medical treatment and nursing activity ahead of time so she knows what to expect" , and nurses considered that the most important nursing activity was "Explain about puerperal period so she understands". Studied group of women considered that the most important nursing activity in relation to medical care was "Record precisely about condition, medical treatment and nursing activity results etc.", and nurses considered that the most important nursing activity was "Observing, cleaning and protecting the perineum" Studied group of women considered that the most important nursing activity in nursing category in preparation for discharge was "Instruct about personnel hygiene during puerperal period", and nurses considered that the most important nursing activity was "Instruct self-care to protect the perineum". 5. The analysis of this study showed a significant amount of disagreement computed by subtracting the nurse′s score from the patient′s score. Studied group of women put greater importance on physical nursing category, psychological nursing category, nursing in relation to medical care, than the nurses. These results were statistically significant at 0.01 level.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.