• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.637-645
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• 2019

Global warming and a new energy policy request the energy saving and pollutant emission control in municipal level. Previous studies focus on transportation in the Seoul metropolitan area which can easily meet the policy goal by reducing it. This study expands the area of urban energy planning to the industries and land use which takes up most of energy use of the city. We empirically study the Busan metropolitan area's 5 years natural gas and electricity consumption data by the industries and land use. Results show that energy usage significantly depends on not only population but also urbanizing intensity and industrial category. This paper address that the policy maker need to pay attention on energy usage pattern of each sectors during the planning.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.47-54
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• 2021

According to the Korea Occupational Safety and Health Agency's (KOSHA) report on industrial accident statistics over the past four years, the number of casualties at construction sites from 2017 to June 2020 was about 93,158 and the number of deaths was about 1,977, showing a high trend of safety accidents among the eight major occupational groups, with the construction industry ranking third in total and the death rate being the highest in total. Among them, the number of deaths caused by falls in the entire occupational category is about 1,267, the highest rate of deaths due to contact is about 522, which is a frequent safety accident among the top three accident types. This paper aims to help reduce the overall proportion of construction safety accidents by developing smart safety sensing devices using ultrasonic sensors to prevent two types of safety accidents, which have the highest rate of occurrence among various types of safety accidents occurring at construction sites.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.39-46
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• 2021

AI is deeply applied to various algorithms that assists us, not only daily technologies like translator and Face ID, but also contributing to innumerable fields in industry, due to its dominance. In this research, we provide convenience through AI categorization, extracting the only data that users need, with objective classification, rather than verifying all data to find from the internet, where exists an immense number of contents. In this research, we propose a model using LSTM(Long-Short Term Memory Network), which stands out from text classification, and compare its performance with models of RNN(Recurrent Neural Network) and BiLSTM(Bidirectional LSTM), which is suitable structure for natural language processing. The performance of the three models is compared using measurements of accuracy, precision, and recall. As a result, the LSTM model appears to have the best performance. Therefore, in this research, text classification using LSTM is recommended.

• Herbal Formula Science
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• v.30 no.4
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• pp.281-291
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• 2022

Objectives : In this study, acute oral toxicity test of pomace Schisandra chinensis extracts was conducted in order to up-cycling to a high value-added industry using by-products discarded in the production process of Schisandra chinensis products and active ingredients such as dibenzocyclooctadiene lignans in Schisandra chinensis. Methods : Pomace Schisandra chinensis extracts were orally administered to SD-rats(female, n=3) without a control group according to the 'OECD guidelines'. After, mortality and clinical signs were observed, and the deceased animals were subjected to an autopsy. In addition, acute oral toxicity test was sequentially performed in step I (300 mg/kg), step II(300 mg/kg), step III(2,000 mg/kg), and step IV(2,000 mg/kg) according to the mortality. Results : There were no abnormalities caused by pomace Schisandra chinensis extracts in step I and step II. However, one animal each died in step III and step IV. In addition, clinical signs(salivation, decrease in food intake, prone position, decrease of locomotor activity, loss of locomotor activity, convulsion, hypothermia, lacrimation, staining around mouth, soiled perineal region, reddish urine, chromaturia, decrease of fecal volume, lying on side, blackish stool, no stool, compound-colored stool, refusal to feed, excitement, hypersensitivity, rigidity, dorsal position, etc.) were observed. But, no clinical signs were observed from 5th day, and experiment animals recovered completely. Conclusions : As a result of this study, pomace Schisandra chinensis extracts may exhibit acute toxicity at concentrations of 2,000 to 5,000 mg/kg, and the GHS classification was designated as 'Category 5'.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.156-163
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• 2022

Loss of leg muscle and muscle weakness, which are caused by aging, affect muscle function and sense of balance. As a way of preventing seniors from falling, we developed the idea of wearing functional supporters based on graduated compression technique and in the form of a taping supporter. Their impact on power, sense of balance, overcoming fatigue, and subjective wearing sensation was investigated. The following results were obtained. After wearing functional compression supporters, body temperature increased from 24.5 ± 0.5℃ to 26.3 ± 0.6℃. Calf size, which assesses the level of edema, decreased from 26.1 ± 1.8cm to 25.7 ± 1.8cm. The result of dynamic balance test, which helps estimate the fall prevention effect, increased from 6.4 ± 0.9sec to 7.1 ± 0.6sec. Lactate level, which indicates the level of fatigue, decreased from 8.1 ± 0.6mmol/L to 7.3 ± 0.8mmol/L. Standing long jump record, which assesses power, increased from 110.1 ± 3.1cm to 112.0 ± 2.8cm. Standing on one leg with eyes closed, which assesses sense of balance, increased from 4.2 ± 1.1sec to 6.5 ± 0.8sec. Ankle angle, which assesses joint stability, increased from 75.3 ± 4.0° to 80.1 ± 1.7°. In metabolism and physical performance testing, which assesses keep, the score increased from 26.3 ± 1.7 to 28.8 ± 1.2. Muscle supporting score, which assesses joint stability, increased from 7.3 ± 0.6 to 7.8 ± 0.4. In the category of body type, which assesses wearing sensation and body shaping function, the score increased from 5.7 ± 1.4 to 6.4 ± 1.2

• New & Renewable Energy
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• v.18 no.3
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• pp.10-22
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• 2022

Forest biomass energy is based on scientific evidence in response to carbon neutrality and the climate crisis, international consensus, and environmental-geographic characteristics of each nation. In this study, the authors aimed to analyze macroscopic forest biomass energy policies for ten major countries. They categorized them into six detailed categories (Sustainable utilization, Cascading Uutilization, Replacement of fossil fuel/Carbon intensive products, Utilization of forest by-products/residues as the source of energy, Contribution to carbon-neutral/climate change, and Biomass combined with CCS/CCUS ). In addition, the surveyed nations have developed a policy consensus on the active use of forest biomass with sustainable forest management except for the cascading utilization category. Furthermore, the authors evaluated the mid to long-term plans of the Korean government for improvements in the policy and legal aspects. As a result, the authors derived four major directions that South Korea should approach strategically in the future (1) secure financial resources for sustainable forest management and stimulating investment in the timber industry, (2) promote unified policies to establish a bio-economy, (3) enhancement of the forest biomass energy system, and (4) reorganization and promotion of strategy centered on the opinions of field experts in internal and external instability.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.418-430
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• 2022

This study aims to analyze consumers' purchase decision-making process of buying avatar fashion items on the Metaverse platform. Drawing on the connection between the self-expression tendency of the MZ generation and that of avatars in the Metaverse, this study uses a qualitative research method to analyze how consumers express their self-image through the appearance of their avatars. Unlike previous studies on the clothing purchase decision-making process, this study shows that purchasing and consumption behavior involve the following six stages: recognizing desire, collecting information, evaluating alternatives, making purchases, evaluating the consumption, and post-purchase action-taking. In the first stage of the purchase decision-making process, consumers' desire arises with self-image expression and confirmation. In the second stage, consumers have a high tendency to shop in the best item category. In the alternative evaluation stage, consumers tend to seek items that match their highest standard while considering their personal preferences. In the fourth stage, when making actual purchases, unplanned purchase behavior often occurs along with an active practice of alternative evaluation. In the fifth stage, the evaluation of the consumption shows that consumers achieve satisfaction by applying a style to their avatars that they are unable to try in the real world. In the last stage, consumers often use their purchases to communicate their various styles with other online consumers. Therefore, we conclude that the online purchase decision-making process differs from the offline process as it is divided into six stages.

• Nutrition Research and Practice
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• v.17 no.2
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• pp.316-329
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• 2023

BACKGROUND/OBJECTIVES: This study investigated the association between dietary quality based on the Korean Healthy Eating Index (KHEI), and the prevalence of chronic conditions among middle-aged individuals (40-60 yrs of age) living alone. MATERIALS/METHODS: The participants were selected (1,517 men and 2,596 women) from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016-2018 and classified into single-person households (SPH) and multi-person households (MPH). Nutrient intake, KHEI, and the prevalence of chronic conditions were compared according to household size. The odds ratios (ORs) of chronic conditions were analyzed according to the tertile levels of KHEI by gender within each household size category. RESULTS: Men in SPH had a significantly lower total KHEI score (P < 0.0001) and a lower prevalence of obesity (OR, 0.576) than those in MPH. For men, the adjusted ORs for obesity, hypertension, and hypertriglyceridemia in the first tertile (T1) of KHEI scores within SPH compared with the third tertile (T3) were 4.625, 3.790, and 4.333, respectively. Moreover, the adjusted OR for hypertriglyceridemia in the T1 group compared to the T3 group within the MPH was 1.556. For women, the adjusted ORs for obesity and hypertriglyceridemia in T1 compared to T3 within the SPH were 3.223 and 7.134, respectively, and 1.573 and 1.373 for obesity and hypertension, respectively, within MPH. CONCLUSIONS: A healthy eating index was associated with a reduced risk of chronic conditions in middle-aged adults. Greater adherence to a healthy eating index could lower the risk of chronic conditions in middle-aged adults living alone.

• Journal of Internet of Things and Convergence
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• v.9 no.3
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• pp.13-19
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• 2023

In this paper, we investigated the implementation of a hairstyle recommendation system based on big data and deepfake technology. The proposed hairstyle recommendation system recognizes the facial shapes based on the user's photo (image). Facial shapes are classified into oval, round, and square shapes, and hairstyles that suit each facial shape are synthesized using deepfake technology and provided as videos. Hairstyles are recommended based on big data by applying the latest trends and styles that suit the facial shape. With the image segmentation map and the Motion Supervised Co-Part Segmentation algorithm, it is possible to synthesize elements between images belonging to the same category (such as hair, face, etc.). Next, the synthesized image with the hairstyle and a pre-defined video are applied to the Motion Representations for Articulated Animation algorithm to generate a video animation. The proposed system is expected to be used in various aspects of the beauty industry, including virtual fitting and other related areas. In future research, we plan to study the development of a smart mirror that recommends hairstyles and incorporates features such as Internet of Things (IoT) functionality.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.324-332
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• 2023

Consumers are addressing the issue of dimensional dissatisfaction by repairing clothes, experimenting with style changes, and looking for cost-effective solutions that result in better-fitting garments. This study investigated the repair status by type of clothing, analyzed the method and frequency of repair by type of clothing category and season, and analyzed consumer redesign activities. The findings revealed that upper garments, such as T-shirts, jumpers, jackets, dress shirts, and dresses, were frequently repaired. The common modifications to upper garments included(in order of frequency) shortening sleeve length, shortening overall length, reducing garment width, zipper repair, and adjusting sleeve width. Lower garments, such as pants, jeans, skirts, and training pants, followed in terms of repair frequency. The modifications to lower garments included(in order of frequency) shortening length, reducing width, adjusting waist width (both narrowing and widening), replacing elastic bands, zipper repair, and lengthening. Repairs were more frequently conducted in the order of autumn, winter, spring, and summer. Repair methods varied depending on the clothing type and alterations involved to the length and width of garments and the replacement or removal of old sections. Redesigning clothing as a recycling method was found to enhance the cost-effectiveness of the collection. The study further confirmed the sustainability aspect of redesigning and reusing clothing.