• 패션비즈니스
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• 제25권4호
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• pp.92-108
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• 2021

The purpose of this study was to develop a free semester program using sustainable materials therefore improving the clothing & textiles section of the middle school textbook and the systematic and in-depth sustainable fashion education based on theme selection activity, as one of free semester system activities in the middle school. Our analysis on the programs, which was performed from 2018 to 2019, showed that the clothing & textiles programs were majorly focused making simple household items through basic needlework and knitting. The programs that related to the sustainable fashion education were environmental programs associated with other textbooks, or mainly included simple upcycling and were mainly operated as arts & physical education or club activities, rather than theme selection programs. According to results from a questionnaire survey on teachers incharge of the system, they had an intention of starting sustainable fashion education program or clothing & textiles section but failed due to low number of participants, practice cost, and time burden. Based on our analysis, this study proposed a 17-session based free semester program that includes the understanding of the sustainable fashions concept, classification of sustainable materials and systematic and stepwise practice in association with the middle school textbook clothing & textile section. The teaching materials developed in this study are expected to be incorporated in the program that helps students understand the right concept of sustainable fashions and respond to the pending environmental issue actively and systematically.

• 융합정보논문지
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• 제11권8호
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• pp.168-175
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• 2021

본 연구는 뇌성마비 아동의 대동작 기능과 먹기, 마시기 기능, 구강 운동 기능과의 상관관계를 확인해보고, 뇌성마비 아동의 대동작 기능의 심한 정도에 따른 연하 재활의 필요성을 확인하기 위해 시행되었다. 뇌성마비 진단을 받은 아동 61명을 대상으로 대동작 기능 분류 체계(GMFCS), 먹기와 마시기 기능분류 체계(EDACS), 구강 운동 기능 검사(OMAS)를 사용하여 대동작 기능, 먹고 마시기 기능, 구강 운동 기능 수준을 평가하고 각 기능 간 상관관계를 확인하였다. 본 연구의 결과는 대동작, 먹고 마시기 기능, 구강 운동 기능 사이에서 유의한 상관관계를 보였다. 즉, 대동작 기능 저하가 심할수록 먹고 마시기 기능과 구강 운동 기능 저하 역시 낮은 기능 수준을 보였다. 본 연구를 통하여 뇌성마비 아동의 섭식활동을 평가하고 치료함에 있어, 아동의 대동작 기능에 따른 먹고 마시기 기능, 구강 운동 기능에 대한 확인이 필요할 것으로 보인다.

• 한국콘텐츠학회논문지
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• 제19권3호
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• pp.261-274
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• 2019

본 논문은 '무인기를 활용한 인공강우 기술'을 위한 투자전략 수립을 위해 적절한 방법론을 개발하는 것을 목적으로 하며 기술 분류체계수립, 기술평가지표 설정, 지표별 가중치 설정, 중요기술 도출을 전체 연구범위로 하며 계량분석을 활용한 최신 연구동향 분석 결과와 전문가 위원회의 의견이 보완되도록 설계하였다. 성공적인 융합과정의 진행을 위한 속성(복합성, 중심성, 실현성)을 정의하고 이를 기술성이라는 핵심 지표로 정의하였다. 기술평가를 위한 핵심지표는 3개의 대항목(활동성, 기술성, 시장성), 10개의 세부 지표로 구성되었으며, 설정된 지표의 중요도 분석을 위해 AHP설문을 수행하였다. 그 결과, 기술자체의 속성인 기술성이 가장 중요한 것으로 분석되었으며 기술의 핵심수준(중심성), 현재 기술수준으로 판단하는 실현가능성(실현성), 융합을 위한 복잡도 정도(복잡성) 순서로 중요한 지표인 것으로 분석되었다. 16개 기술군 중 우선투자 상위 기술군은 지상시딩, 인공강우 수치모델링, 인공강우검증, 시딩물질 살포 및 확산, 무인기용 기상센서 기술인 것으로 분석되었다.

• 한국초등과학교육학회지:초등과학교육
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• 제38권1호
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• pp.43-54
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• 2019

In order to organize various places for science experience study, this study gathered and analyzed prior research on science experience study and various science experience perated in school. To that end, a total of 162 relevant prior studies of literature published from 2000 to 2016 were collected and 2,201 cases of science experience study conducted in 2015 were collected and analyzed. The place where the science experiential learning was done is divided into three areas of natural ecology, cultural history, facility experiential learning study, and the characteristics of participating subjects are examined. In terms of the number of articles published in the field of science-related experiential learning areas, 83 ecological experience study sites (51.2%), facilities institution experience study sites 56 (34.6%), and cultural history experience study books 23 (14.2%). Through this study, it was found out that research tendency to analyze science - related attitudes became prominent by setting study subjects using natural objects around and learning to play while playing and playing in nature. There was also an analysis by subjects of participation in science related experience learning centers. Cultural history experiential learning field was significantly lower than previous studies. In the lower grades, nature ecological experience learning was mainly performed. Combining the above findings, it can provide implications for the development of science-related experience activities. First, it is necessary to develop a technology-related experience learning center using local community resources. Second, it is necessary to expand the culture and history experience learning center related to science. Third, we need an education support center to support the expansion and operation of such a technology-related cultural history learning center.

• 임상간호연구
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• 제25권1호
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• pp.55-66
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• 2019

Purpose: This study was done to assess development and postnatal care interventions in postnatal care intervention records for maternity ward nurses in tertiary hospitals and women's hospitals in South Korea. Methods: This mixed-method research was a Time-Motion (TM) study. Data were collected through external observation of 12 nurses in 4 wards over 24 hours. Mann-Whitney U test and independent t-test were employed for the analysis of frequency and provision time of direct/indirect care activity. $x^2$ (Fisher's exact test) was utilized to determine the difference in frequency between two groups. IBM SPSS 22.0 statistical program was employed for calculation. All statistical significance levels were at ${\alpha}=.05$. Results: According to the KPCS-1 (Korean Patient Classification System-1), women's hospitals are group 3 and tertiary hospitals, group 4. With respect to time difference in direct care, tertiary hospitals showed 791 minutes and women's hospitals, 399 a difference of 392 minutes. For time difference in indirect care, women's hospitals had 2,415 minutes while tertiary hospitals, 2,080, a difference of 335 minutes for women's hospitals. No difference was found in the average total care workload between the two institutions. Individual time also showed no difference (p>.05). Conclusion: High-risk maternal care strength in tertiary hospitals and breast-feeding strength in women's hospitals need to be benchmarked with each other.

• 대한지역사회영양학회지
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• 제26권5호
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• pp.363-381
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• 2021

Objectives: This study examined the Korean elderly's dietary intake status, subjective health-related perception and chronic disease prevalence among age groups. Associations of dietary quality with subjective health-related perception and chronic diseases were also examined. Methods: Based on data from the 7th National Health and Nutrition Examination Survey, a total of 3,231 elderly were selected and categorized into 4 age groups of '65 ~ 69', '70 ~ 74', '75 ~ 79' and 'over 80'. Nutrient intakes, proportions of those with insufficient nutrient intakes, Korean Healthy Eating Index (KHEI), some subjective health-related perceptions and prevalence of major chronic diseases were compared according to the age groups. Differences in the subjective health-related perceptions and odds ratios of the chronic diseases according to the quartile levels of KHEI within the same age group were analyzed. Results: With the increase of age, several nutrient intakes (P < 0.001) and KHEI scores significantly decreased (P < 0.01). In women, activity restriction increased (P < 0.05), and EQ-5D score decreased with age (P < 0.001). Prevalence of hypertension (P < 0.0001), hypercholesterolemia (P < 0.05) and anemia (P < 0.01) significantly increased, while hypertriglyceridemia (P < 0.01) significantly decreased only in men. Obesity prevalence decreased, while underweight prevalence increased (P < 0.05). Subjective health status, EQ-5D score and PHQ-9 score significantly improved as KHEI score increased in certain age groups of women (P < 0.05). Odds ratio of hypercholesterolemia significantly increased with the increase of KHEI score in 65 ~ 69-year-old women. However, hypertension and anemia significantly decreased with the increase of KHEI score in 75 ~ 79-year-old women (P < 0.05). Conclusions: The study findings suggest that nutrition management and policy for the Korean elderly need to apply a segmented age standard that can better reflect their dynamic characteristics.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.319-328
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• 2021

Parallel administration of numerous drugs increases Drug-Drug Interaction (DDI) because one drug might affect the activity of other drugs. DDI causes negative or positive impacts on therapeutic output. So there is a need to discover DDI to enhance the safety of consuming drugs. Though there are several DDI system exist to predict an interaction but nowadays it becomes impossible to maintain with a large number of biomedical texts which is getting increased rapidly. Mostly the existing DDI system address classification issues, and especially rely on handcrafted features, and some features which are based on particular domain tools. The objective of this paper to predict DDI in a way to avoid adverse effects caused by the consumed drugs, to predict similarities among the drug, Drug pair similarity calculation is performed. The best optimal weight is obtained with the support of KHA. LSTM function with weight obtained from KHA and makes bets prediction of DDI. Our methodology depends on (LSTM-KHA) for the detection of DDI. Similarities among the drugs are measured with the help of drug pair similarity calculation. KHA is used to find the best optimal weight which is used by LSTM to predict DDI. The experimental result was conducted on three kinds of dataset DS1 (CYP), DS2 (NCYP), and DS3 taken from the DrugBank database. To evaluate the performance of proposed work in terms of performance metrics like accuracy, recall, precision, F-measures, AUPR, AUC, and AUROC. Experimental results express that the proposed method outperforms other existing methods for predicting DDI. LSTMKHA produces reasonable performance metrics when compared to the existing DDI prediction model.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.287-294
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• 2021

Modern small farms are important link components in the structure of the world agro-industrial complex. It ensures the food and nutritional sustainability of the country exclusively at the local regional level. The purpose of the research is to examine the role of farming in ensuring nutritional security and food stability based on the analysis of the Food Sustainability Index (FSI). Research methods: modeling, abstraction, analogy, analysis, synthesis, formalization, logical abstraction, theoretical cognition, systematization and classification, abstract-logical, etc. Results. Having analyzed the Food Sustainability Index for 2018, it has been established that there is a lack of a clear relationship between the pace of economic development and the level of food and nutritional sustainability. In addition, this study has identified the countries with the largest number of small farms, as well as the number of farms within the region. The correlation between the size of the farm and the area of agricultural land that it cultivates has been determined. The problems faced by small farms in the process of their activity have been analyzed. The programs implemented in the field of agro-industrial complex development by international profile institutions have been systematized. Particularly, the regional structure of agricultural development programs under the guidance of IFAD is defined, as well as the areas to which they are directed. Specific measures taken by governments to stimulate the development of small farms have been outlined. Reasonable conclusions have been formed based on the study. The direction of future research is seen in the assessment of the export potential of small farms in terms of range, volume of export deliveries and geographical direction of movement of their products.

• 한국정보통신학회논문지
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• 제24권9호
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• pp.1224-1230
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• 2020

스마트폰의 보급 이후 웨어러블 디바이스에 대한 관심이 높아지고 다양화되면서 사용자들의 생활에 밀접하게 연관되고 있으며, 개인화된 서비스를 제공하기 위한 방법으로 사용되고 있다. 본 논문에서는 스마트폰에 내장된 3축 가속도 센서와 3축 자이로 센서의 정보를 합성곱 신경망에 적용하여 사용자의 행동을 검출하는 방법을 제안한다. 인간의 행동은 동작의 크기와 범위에 따라서 동작을 구성하는 신호 데이터의 지속시간을 포함한 시작 시점과 끝나는 시점이 다르다. 이로 인해 합성곱 신경망에 그대로 적용하면 행동 인식 정확도에 대한 성능상의 문제가 있다. 따라서 센서 데이터를 시간의 구간에 따라 분할된 특징을 학습하는 시분할 특징 융합 합성곱 신경망(TDFFCNN: Time-Division Feature Fusion Convolutional Neural Network)을 제안하였다.