• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.332-345
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• 2020

This study sought to explore the demand in the social service sector and present policy implications, focusing on the vulnerable in rural villages exposed to worse conditions amid the Covid-19 crisis. To this end, the social service needs of vulnerable groups by household type were analyzed by utilizing the raw data of the 2018 Survey on Rural Well-Being. Analysis showed that the greatest demand social services for all rural villages, the elderly, the disabled, one-person, one elderly and low-income households were income support services, while in household that included children the demand was for childcare and education-related services. The second-highest social services in terms of demand were cultural leisure vacation support services for all rural villages, healthcare-related services for the elderly, the disabled, one elderly and low-income households, cultural leisure vacation support services for households including children and daily life support services for single-person households. Based on these results, a measure was proposed to support social services, tailored to vulnerable groups in rural villages. In addition, the government's lack of a consultation system between urban and rural welfare policies, such as a basic plan for health and welfare in rural villages, led this paper to discuss the need for a feedback function and dedicated formulation of mid- to long-term policies in rural villages. It also proposed the establishment of conditions for providing customized social services for rural villages.

• Publications of The Korean Astronomical Society
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• v.35 no.3
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• pp.29-41
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• 2020

Korea has numerous astronomical resources, such as observational records, star maps, and a wealth of literature, covering the period from the Three Kingdoms (54 BC - 932 AD) to the Joseon Dynasty (1392 - 1910 AD). The research activities related to these resources have been limited to those by individual researchers. It is now necessary to conduct research by efficiently and systematically collecting and managing Korean astronomical records using an accessible Web environment. The purpose of this study is to complete a system that enables researchers systematically to collect and verify a large number of historical records related to astronomical phenomena in a Web environment. In 2017, a preliminary survey was conducted, and the requirements pertaining to an implementation target system were devised. In addition, a joint development plan was carried out by the developer, lasting three months in 2018. Although the system is relatively simple, it is the first system to be attempted in the historical astronomy field. In order to proceed with the systematic development, the software development methodology is applied to the entire process from deriving the requirements of researchers to completing the system. The completed system is verified through integrated function and performance tests. The functional test is repeated while modifying and testing the system based on various test scenarios. The performance test uses a performance measurement test tool that takes measurements by setting up a virtual operation environment. The developed system is now in normal operation after a one-year trial period. Researchers who become authorized to use the system can use it to verify the accuracy of data and to suggest improvements. The collected feedback will be reflected in future systems, and Korean astronomical records will be available for use internationally through a multilingual service.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.10-21
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• 2022

In order to improve formal presentation attitudes such as presentation of job interviews and presentation of project results at the company, there are few automated methods other than observation by colleagues or professors. In previous studies, it was reported that the speaker's stable speech and gaze processing affect the delivery power in the presentation. Also, there are studies that show that proper feedback on one's presentation has the effect of increasing the presenter's ability to present. In this paper, considering the positive aspects of correction, we developed a program that intelligently corrects the wrong presentation habits and attitudes of college students through facial analysis of videos and analyzed the proposed program's performance. The proposed program was developed through web-based verification of the use of redundant words and facial recognition and textualization of the presentation contents. To this end, an artificial intelligence model for classification was developed, and after extracting the video object, facial feature points were recognized based on the coordinates. Then, using 4000 facial data, the performance of the algorithm in this paper was compared and analyzed with the case of facial recognition using a Teachable Machine. Use the program to help presenters by correcting their presentation attitude.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1137-1144
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• 2022

In this study, an artificial intelligence(AI) was developed to help with facial expression practice in order to express emotions. The developed AI used multimodal inputs consisting of sentences and facial images for deep neural networks (DNNs). The DNNs calculated similarities between the emotions predicted by the sentences and the emotions predicted by facial images. The user practiced facial expressions based on the situation given by sentences, and the AI provided the user with numerical feedback based on the similarity between the emotion predicted by sentence and the emotion predicted by facial expression. ResNet34 structure was trained on FER2013 public data to predict emotions from facial images. To predict emotions in sentences, KoBERT model was trained in transfer learning manner using the conversational speech dataset for emotion classification opened to the public by AIHub. The DNN that predicts emotions from the facial images demonstrated 65% accuracy, which is comparable to human emotional classification ability. The DNN that predicts emotions from the sentences achieved 90% accuracy. The performance of the developed AI was evaluated through experiments with changing facial expressions in which an ordinary person was participated.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.919-929
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• 2022

As a new type of healthy public space, greenway users carry out leisure activities, exercise, sightseeing and necessary transportation in greenway. However, at present, there is little research on greenway users' evaluation and perception of greenway, and there is no comprehensive exploration of Greenway environment from a humanistic perspective. Combined with the research and actual situation of the existing representative greenways in Chinese cities, this paper refers to a large number of documents, applies the semantic difference method and multiple regression analysis method, analyzes the current situation of the Dongfengqu greenway, explores the influencing factors and impact evaluation of the greenway environment from the perspective of greenway users' perception, and puts forward suggestions on the optimization of the greenway environment in Zhengzhou from multiple levels. The main conclusion of this paper comes from the data conclusion obtained by semantic difference method, which is feasible in the resident evaluation of greenway use. The feedback results of post use evaluation can provide a reliable reference for the planning and design of similar greenways in the future.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.216-230
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• 2023

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

• Journal of Animal Science and Technology
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• v.65 no.1
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• pp.244-257
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• 2023

The study aimed to investigate the effect of low-frequency oscillations on the cow udder, milk parameters, and animal welfare during the automated milking process. The study's objective was to investigate the impact of low-frequency oscillations on the udder and teats' blood circulation by creating a mathematical model of mammary glands, using milkers and vibrators to analyze the theoretical dynamics of oscillations. The mechanical vibration device developed and tested in the study was mounted on a DeLaval automatic milking machine, which excited the udder with low-frequency oscillations, allowing the analysis of input parameters (temperature, oscillation amplitude) and using feedback data, changing the device parameters such as vibration frequency and duration. The experimental study was performed using an artificial cow's udder model with and without milk and a DeLaval milking machine, exciting the model with low-frequency harmonic oscillations (frequency range 15-60 Hz, vibration amplitude 2-5 mm). The investigation in vitro applying low-frequency of the vibration system's first-order frequencies in lateral (X) direction showed the low-frequency values of 23.5-26.5 Hz (effective frequency of the simulation analysis was 25.0 Hz). The tested values of the first-order frequency of the vibration system in the vertical (Y) direction were 37.5-41.5 Hz (effective frequency of the simulation analysis was 41.0 Hz), with higher amplitude and lower vibration damping. During in vivo experiments, while milking, the vibrator was inducing mechanical milking-similar vibrations in the udder. The vibrations were spreading to the entire udder and caused physiotherapeutic effects such as activated physiological processes and increased udder base temperature by 0.57℃ (p < 0.001), thus increasing blood flow in the udder. Used low-frequency vibrations did not significantly affect milk yield, milk composition, milk quality indicators, and animal welfare. The investigation results showed that applying low-frequency vibration on a cow udder during automatic milking is a non-invasive, efficient method to stimulate blood circulation in the udder and improve teat and udder health without changing milk quality and production. Further studies will be carried out in the following research phase on clinical and subclinical mastitis cows.

• Quality Improvement in Health Care
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• v.28 no.2
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• pp.30-38
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• 2022

Purpose: The Health Insurance Review and Assessment Service (HIRA) in South Korea initiated a quality assessment (QA) program for blood transfusion healthcare services in 2020 to ensure patient safety and appropriate blood use. This study examines the quality of blood transfusion services since the first national QA program for blood transfusion services in Korea. Methods: We analyzed HIRA claims and QA investigation data based on inpatient medical records from all tertiary, general, and primary hospitals between October 2020 and March 2021. The target population was patients aged 18 years and older who received either total knee arthroplasty or red blood cell transfusion. The QA indicators for transfusion healthcare service consisted of four quality indicators and four monitoring indicators. Results: We analyzed the results of QA indicators for transfusion service from the medical records of 189,668 patients from 1,171hospitals and expressed indicators as proportions. The average results for evaluation indicators were as follows: transfusion checklist presence, 64.8%; irregular antibody tests, 61.8%; transfusions in which the hemoglobin levels before transfusion met the transfusion guidelines for patients undergoing total knee arthroplasty, 20.6%, and transfusions in patients undergoing total knee arthroplasty, 59.3%. The average results for monitoring indicators were as follows: transfusion management implementation in medical institutions, 56.9%; preoperative anemia management in anemia patients undergoing total knee arthroplasty, 43.9%; one-unit transfusions, 82.5%; and the transfusion index. Conclusion: The quality of blood transfusion healthcare varied and the assessment revealed that there is scope for improvement. Hospitals require more effective blood transfusion management and this can be facilitated by providing feedback on the QA results about blood transfusion healthcare services to medical institutions, and by disclosing the results to the public.

• Journal of Science Education
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• v.47 no.1
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• pp.1-10
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• 2023

In this study, we investigated the perception of STEAM (science, technology, engineering, arts, and mathematics) education consultants (SEC) about the requirements to achieve actual results and the improvements for STEAM education consulting. Data were collected from teachers who have had previous SEC experience or have extensive experience in STEAM education. First, an open-ended questionnaire was used to conduct a survey on the requirements and improvements for the STEAM education consulting, and items were composed by analyzing the contents of these free responses, and then statistical analysis was performed by asking them to respond on the Likert scale to how much they agreed to each item. As a result of the analysis, the SEC recognized that "formation of consensus between consultants and teachers", "consultant feedback on reflection of previous consulting results" and "encouragement and support for teachers" are appeared to be the most required for STEAM education consulting to achieve actual results. As the improvements of STEAM education consulting, "sharing cases and opinions among consultants", "selection and sharing of consulting best practices", and "development of various consulting types such as open classes" received the highest agreement. Based on these results, a support plan to increase the effectiveness of STEAM consulting was proposed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.9
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• pp.429-442
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• 2017

This study was performed to investigate and analyze users' needs for m-health based prevention and intervention programs that are intended to improve the awareness of metabolic syndrome and promote health behaviors of college students. A questionnaire survey was conducted to 200 college students of 2 university in D city. Data were analyzed using descriptive statistics, t-tests, chi-square test with the SPSS Version 20.0. The result showed that users wanted customization of prescriptions and accurate measurement of health applications, and provided a positive feedback on information exchange between those who manage their health. The most preferred content was proper exercise methods, and the preferred gamification factors were goal-setting, compensation, and competition. The optimal price for wearable devices was between 10,000 to 50,000 won, and calorie consumption function was also preferred. Although users with experiences of wearable devices and health apps had a higher knowledge score pertaining to metabolic syndrome, there was no significant difference in the overall score. Concerning the health behaviors associated with lifestyles, individuals without the experiences of wearable devices and health apps showed a remarkably lower score. The research has a significance that it investigated and analyzed the contents needed for the development of effective moblie health based prevention and intervention programs targeting the population in their early adulthood. Therefore, based on the findings, we propose a rich and concrete follow-up study on the needs and characteristics of different user types by collecting a population with experiences of wearable devices, and a development of differentiated mobile health based prevention and intervention programs.