• Title/Summary/Keyword: 융합 과학

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Characterization of Heavy Metal Pollution in Sediments of Major Reservoirs in South Korea (우리나라 주요 호소의 퇴적물 내 중금속 오염도에 따른 특성 분석)

  • Yun Sang Jeong;Dae-Seong Lee;Da-Yeong Lee;Ihn-Sil Kwak;Young Seuk Park
    • Korean Journal of Ecology and Environment
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    • v.55 no.2
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    • pp.175-183
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    • 2022
  • In this study, 46 reservoirs in South Korea were characterized based on heavy metal concentration in sediments. We analyzed the relationship between heavy metal concentrations, physicochemical water quality and hydromorphological factors in each reservoir. Study reservoirs were classified into five groups of reservoirs, by hierarchical cluster analysis based on the similarities of heavy metal concentration. Group 1 had the most severe sediment heavy metal contamination among the groups, whereas Groups 2 and 3 showed low levels of heavy metal contamination. Group 4 displayed high value of Ni, and Group 5 showed high contamination of Pb, Cu, Cr, Ni, and Hg. Groups 1 and 5, which had high concentration of heavy metals in sediments, showed a high density of mines in the catchment of reservoirs. Heavy metal concentration was high in reservoirs with large capacity or the ones located at higher elevation, and also highly related with number of mines in the catchment of reservoir. This study can contribute to the systematic management of sediment heavy metals in reservoirs.

A Study on the Reliability and Validity of the Collection of the Ethnography Method of Service Experience Data - Focusing on I know You_AI Service - (서비스경험데이터의 에스노그라피 방식 수집에 대한신뢰성과 타당성 연구 - I know you_AI 서비스를 중심으로 -)

  • Ahn, Jinho;Lee, Jeungsun
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.43-55
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    • 2020
  • Recently, as the importance of experience data increases, there are many attempts to deal with experience data from a data science perspective. In the case of approaching as a collection method of a quantitative survey method that seeks to quantify numerically such as big data, it is difficult to interpret the value of experience in a wide range, and it is relatively expensive and time consuming, and personal information infringement There is a limit to the analysis due to the risk of However, since ethnography, a procedure for collecting experience data based on qualitative research, is mainly carried out in the natural real environment of future customers from the perspective of users, it is possible to confirm the nature that customers face with a small sample. In addition, it is also easy to interpret the relational dimension of the empirical data. Although the ethnography method of collecting experiential data is economical and efficient, it is important to reduce errors in the collection process because the lack of scientific procedures for the data collection process can be a problem. It is important to secure the validity of whether the correct measurement tool is used for ethnography-based experiential data collection and to secure the reliability of the use of a valid measurement tool and method by accurately selecting the measurement target. From this point of view, it is necessary to verify the reliability of the research method that clearly selects the measurement target and secures the validity for the development of the correct measurement method and tool for the collection of ethnography experience data. Therefore, in this study, a verification study was conducted on the data and methodology cases of the'I know you_AI' service that analyzes the customer experience of self-employed based on the ethnography method of collecting experience data..

Identifying Problems and Suggesting Improvements for the Scuba Rescue Curriculum Using the Delphi Method (델파이 기법을 활용한 스쿠버 레스큐 교육과정의 문제점 및 개선방안)

  • Dong-Il Han;Jae-Yong Jang;Geun Lee;Dae-Geon Yoon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1179-1190
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    • 2022
  • The purpose of this study was to identify, analyze and address problems in the current scuba diving rescue curriculum in Korea by using the Delphi method to collect expert opinions on the topic. This expert information can form a data-based foundation for the scuba diving rescue curriculum, allowing teaching to be conducted more professionally and systematically, and allowing participants to enjoy scuba diving with greater safety and confidence. In this study, eight experts, all involved in developing the scuba rescue curriculum, were selected, and the research was conducted with informed consent from all participants and in accordance with all related ethical rules. Improvement measures were identified for scuba rescue leaders, teaching programs and training facilities. The study revealed that to improve leadership, a system to verify the leader's ability should be developed and that, in general, the ability of scuba rescue leaders should be strengthened. To improve teaching programs, each scuba organization should produce updated program manuals, prepare evaluation standards, and develop programs that employ a wide variety of training equipment. Finally, in terms of facilities, improvements should be made by constructing artificial wave devices at training centers.

Estimation of the Input Wave Height of the Wave Generator for Regular Waves by Using Artificial Neural Networks and Gaussian Process Regression (인공신경망과 가우시안 과정 회귀에 의한 규칙파의 조파기 입력파고 추정)

  • Jung-Eun, Oh;Sang-Ho, Oh
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.6
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    • pp.315-324
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    • 2022
  • The experimental data obtained in a wave flume were analyzed using machine learning techniques to establish a model that predicts the input wave height of the wavemaker based on the waves that have experienced wave shoaling and to verify the performance of the established model. For this purpose, artificial neural network (NN), the most representative machine learning technique, and Gaussian process regression (GPR), one of the non-parametric regression analysis methods, were applied respectively. Then, the predictive performance of the two models was compared. The analysis was performed independently for the case of using all the data at once and for the case by classifying the data with a criterion related to the occurrence of wave breaking. When the data were not classified, the error between the input wave height at the wavemaker and the measured value was relatively large for both the NN and GPR models. On the other hand, if the data were divided into non-breaking and breaking conditions, the accuracy of predicting the input wave height was greatly improved. Among the two models, the overall performance of the GPR model was better than that of the NN model.

A Study on 3D Virtual Restoration and Convergence Utilization of Gas Masks for Digital Reproduction of War Cultural Heritage (전쟁 문화유산 디지털 재현을 위한 방독면 3D 가상 복원 및 융합 활용 연구)

  • Hyoung-Ki Ahn;Seung-Jun Oh;Ho-Yeon Lee;Young-Guy Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.89-95
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    • 2023
  • In January 2007, the Remains Excavation and Investigation Team of the Ministry of National Defense was established, and full-scale excavation of remains was promoted. Currently, the scope of the excavation is being expanded to Baekma Hill within the DMZ, where fierce battles were fought during the Korean War. Now, many remains and remains are being excavated in Baekma hill. Most are in damaged condition. Therefore, in this study, the original form of the excavated remains was restored using 3D scanning and 3D modeling. This digital restoration method can be an alternative to compensate for the disadvantages of the manual method. Currently, various digital restorations using 3D technology are active in the field of cultural heritage. Digitally restored materials can be used as basic data for digital heritage. Based on this, various contents related to excavation of remains and patriots and veterans can be developed. Furthermore, if digital human restoration is made based on the excavated remains, it will be possible to reproduce the appearance of the dead.

A Systematic Literature Review of School Readiness Programs for Children With Disabilities (장애아동의 학교준비도 프로그램(School Readiness Program)에 대한 체계적 문헌 고찰)

  • Kim, Eun Ji;Kwak, Bo-Kyeong;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.12 no.3
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    • pp.7-18
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    • 2023
  • Objective : This study aimed to confirm the research characteristics by analyzing the literature that applied the school readiness programs for children with disabilities. Methods : Studies were collected from the PubMed, Embase, Web of Science, and Research Information Sharing Service databases. The key terms were "School readiness" AND ("Occupational Therapy" OR "Rehabilitation") in English and Korean. Total eight articles were selected through the selection and exclusion criteria. Results : The programs included multi-type training, motor skill training, parent training, and mobile application training. The providers were psychologists, occupational therapists, physical therapists, speech pathologists, community workers, educators, and the psychologists who conducted most of the research. The program factors can be classified into academic function, motor function, social function, parental training, and others. Academic and social functions accounted for the largest proportion of the respondents. The intervention improved multiple skills, literacy, parenting skills, and gross fine motor function. Conclusion : This study aimed to provide basic data for school-based occupational therapy by analyzing school readiness programs for children with disabilities. Recently, interest in and research on school readiness has increased. Occupational therapists should also establish their roles in the field of school-related rehabilitation and provide various school-based occupational therapies.

Development and Evaluation of Children's Smart Photonic Safety Clothing ( 어린이의 스마트 포토닉 안전의복의 개발 및 평가)

  • Soon-Ja Park;Dae-jin, Ko;Sung-eun, Jang
    • Science of Emotion and Sensibility
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    • v.26 no.2
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    • pp.129-140
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    • 2023
  • Following ISO 20471, in this study, first, two sets of safety clothes and safety vests were made by designing and attaching animal and bird patterns preferred by children to retroreflective films and black fabrics on those fluorescent fabrics and retroreflective materials prescribed by international standards. Second, by mounting a smart photonic device on the safety clothing so that the body can be recognized from a distance even without an ambient light source at night, children can emit three types of light depending on the situation with just one-touch of the button. From a result of comparison with visibility a day and night by dressing a mannequin in the made smart safety clothing, the difference in visibility was evident at night, it was confirmed that we can see the figure of a person even at a distance of approximately 70 m. Therefore, it is expected to contribute to the prevention of traffic and other accidents on the road, as the drivers driving at night or in bad weather can recognize a person from a distance. Third, in case of the energy is exhausted and cannot maintain the stability of the light-emitting function of the optical faber, we can use energy harvesting device, and the light-emitting time will be extended. As a result it comes up to emit light stably for a long time. And this prove that smart photonic safety clothing can also be used for night workers. Therefore, optical fiber safety clothing is expected to be highly wearable not only in real life but also in dark industrial sites due to stable charging by applying the energy harvesting provided by solar cells.

Association Between Cognitive Impairment and Oral Health Related Quality of Life: Using Propensity Score Approaches (인지기능과 구강건강관련 삶의 질의 연관성에 대한 연구: 성향점수 분석과 회귀모델을 중심으로)

  • Cha, Suna;Bae, Suyeong;Nam, Sanghun;Hong, Ickpyo
    • Therapeutic Science for Rehabilitation
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    • v.12 no.3
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    • pp.61-77
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    • 2023
  • Objective : This study analyzed the correlation between cognitive function and oral health-related quality of life (OHQoL). Methods : Demographic and clinical characteristics were extracted and utilized for subjects aged 45 years or older who participated in the 8th Korean Longitudinal Study on Aging in 2020. The dependent variable was the Geriatric Oral Health Assessment Index, and the independent variable was the level of cognitive function classified by the Mini-Mental State Examination scores. The analysis method used inverse probability of treatment weighting (IPTW). Then, the association between cognitive function and OHQoL was analyzed by multiple regression analysis. Results : Among the participants, 4,367 (71.40%) had normal cognition, 1,155 (18.89%) had moderate cognitive impairment, and 594 (9.71%) had severe cognitive impairment. As a result of analysis by applying IPTW, there was a negative correlation between the cognitive function group and OHQoL (normal vs. moderate: β = -2.534, p < .0001; normal vs. severe: β = -2.452, p < .0001). Conclusion : After propensity score matching, mild cognitive impairment showed a more negative association than severe cognitive impairment. Therefore, patients with cognitive impairment require oral health management education to improve OHQoL regardless of the level of cognitive impairment.

Effects of Stretching Time on Head Spine Angle and Muscle Tone (스트레칭 후 시간 경과에 따른 머리척추각과 근긴장도 변화 연구)

  • Ji-Yun Son;Young-Chun Yu;Ji-Yoon Kim;Hee-Won Park;Ji-Hyun Yu;Yu-Gwon Lee;Byeong-Eon Lim;Ji-Myeong Choi;Jae-Hyun Kim
    • Advanced Industrial SCIence
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    • v.2 no.3
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    • pp.15-21
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    • 2023
  • In this study, we wanted to know the change in the craniovertebral angle before and after stretching and muscle tone according to rest time immediately after stretching. 57 students in their 20s and 30s were targeted, and the craniovertebral angle was compared before and after stretching. Static manual stretching was applied for stretching, and after 30 seconds, it was repeated three times with a break time of 10 seconds, and before stretching, immediately after, two minutes after, and five minutes after stretching were measured using muscle tone measuring equipment. As a result, there was no significant difference in craniovertebral angle before and after stretching, and the change in muscle tone according to the rest time after stretching was more significant after 5 minutes than before stretching. It is more effective to take five minutes to rest after stretching, reduce muscle tone than working immediately after stretching.

A Study on Automated Stock Trading based on Volatility Strategy and Fear & Greed Index in U.S. Stock Market (미국주식 매매의 변동성 전략과 Fear & Greed 지수를 기반한 주식 자동매매 연구)

  • Sunghyuck Hong
    • Advanced Industrial SCIence
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    • v.2 no.3
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    • pp.22-28
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    • 2023
  • In this study, we conducted research on the automated trading of U.S. stocks through a volatility strategy using the Fear and Greed index. Volatility in the stock market is a common phenomenon that can lead to fluctuations in stock prices. Investors can capitalize on this volatility by implementing a strategy based on it, involving the buying and selling of stocks based on their expected level of volatility. The goal of this thesis is to investigate the effectiveness of the volatility strategy in generating profits in the stock market.This study employs a quantitative research methodology using secondary data from the stock market. The dataset comprises daily stock prices and daily volatility measures for the S&P 500 index stocks. Over a five-year period spanning from 2016 to 2020, the stocks were listed on the New York Stock Exchange (NYSE). The strategy involves purchasing stocks from the low volatility group and selling stocks from the high volatility group. The results indicate that the volatility strategy yields positive returns, with an average annual return of 9.2%, compared to the benchmark return of 7.5% for the sample period. Furthermore, the findings demonstrate that the strategy outperforms the benchmark return in four out of the five years within the sample period. Particularly noteworthy is the strategy's performance during periods of high market volatility, such as the COVID-19 pandemic in 2020, where it generated a return of 14.6%, as opposed to the benchmark return of 5.5%.