• Environmental and Resource Economics Review
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• v.30 no.3
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• pp.471-501
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• 2021

We measure Environmental Efficiency (EE) based on CO₂ in four income groups from 1998 to 2018, using the Meta Stochastic Frontier Analysis method by Input Distance Function. Our results showed that economic growth and energy consumption would increase carbon dioxide emissions, and increasing labor and capital input will reduce it. Moreover, we compared Group Environmental Efficiency (GEE), Meta Environmental Efficiency (MEE), and Environmental Gap Ratio (EGR). The results showed that GEEs were be overestimated. Furthermore, the MEE showed a downward trend during this period. The lower-middle-income group had the highest EGR performance. High-income and upper-middle-income groups showed less efficiency in MEE and EGR. To improve environmental efficiency, we must reduce fossil fuels and find more scientific and technological ways to solve existing environmental problems as soon as possible.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.1-23
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• 2018

This study suggests a way through Hong Kong as an alternative strategy for Korean companies to enter Chinese service market which is rapidly expanding due to China's recent policy switch toward service economy. Service market is generally more regulated, labor-intensive, and domestic demand-oriented than goods market, which makes opening of domestic markets to foreigners slow. In case of China, market control and regulations by the State is tighter than other economies. Therefore, it is important to find ways to avoid regulations from the Chinese government if possible. In this sense, this study investigates the China-Hong Kong CEPA and draws its strategic value for entering Chinese service market by comparing it with the Korea-China FTA service sector. In addition, utilizing the difference in tax agreements between Korea-China and China-Hong Kong, and the human network of Hong Kong entrepreneurs in China may play an important role in reducing the risk that might arise in China.

• The Research Journal of the Costume Culture
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• v.27 no.5
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• pp.415-432
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• 2019

The purpose of the present study was to generate a list of business ethics components according to business area for small and medium-sized fashion companies. Based on the literature review, 21 components of business ethics components were identified within five business areas. Ten CEOs(Chief Executive Officers) each participated in an in-depth interview, sharing ethical and unethical cases from their own businesses. Constant comparative analysis was used to generate important business ethics components from those cases. In results, important business ethics components for each business area are: 1) using human-friendly materials, strengthening sustainable technologies, using vegan materials, concerning safe process, and reducing waste in the material production and sourcing area, 2) enhancing an efficiency in design, developing recycle/reuse designs, avoiding to copy designs, and using messages for public interest in the product design area, 3) concerning fair-trade, reducing harmful substance, saving energy, and using ethical supply channels in the distribution and logistics area, 4) acquiring certifications, promoting consumer protection, avoiding exaggerative/false advertisements, and promoting social contributions in the management and marketing area, and 5) promoting workers' rights, complying with the law, and investing on employee educations in the labor management area. All of the ethical and unethical cases of the ten companies have involved aspects of the 21 components, thereby enhancing understandings on how each issue is being seriously considered and/or handled in the small and medium-sized fashion companies. Study findings may provide a basis for development of a research model for quantitative studies and/or educational programs related to business ethics in the fashion industry.

• Journal of English Language & Literature
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• v.57 no.2
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• pp.191-215
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• 2011

This paper aims at investigating Dorothy Wordsworth's later conversation poetry, which has not been the focus of critical discussions on her literary works. While many critics have been emphasizing Dorothy Wordsworth's journals and the tendency of self-effacement in her prose, this paper argues that her later poetry often reveals acute self-consciousness about the circumstances that condition this self-annihilation and searches for a creative way to endorse her own identity. In "Lines Intended for My Niece's Album," she expresses anxiety and uncertainty about the inclusion of her poetic piece in Dora Wordsworth's album, which contains poems by prominent male writers of the contemporary period. "Irregular Verses" presents Dorothy Wordsworth's self-conscious narrative of her girlhood and shows how her own ambition to become a "Poet" has been stifled by external circumstances, including the ideology that instills the idea of proper womanhood into aspiring girls. While these poems examine contemporary gender discourse and the frustrated poethood resulting from it, other poems activate conversations with William Wordsworth's poems and thereby provide a revisionary re-writing of her brother's texts. For example, in "Lines Addressed to Joanna H." Dorothy Wordsworth becomes "a woman addressed who herself addresses others." Her scrupulous approach to her own addressee refuses to subordinate the other to the self's will, and through this revision of "Tintern Abbey," Dorothy Wordsworth vicariously liberates her own self confined in her brother's poems. "Thoughts on My Sick-Bed," which echoes "Tintern Abbey" through borrowed phrases and direct address to William Wordsworth, foregrounds her own poetic identity in the form of the first-person pronoun "I." Dorothy Wordsworth's continual illness during this period of her life paradoxically allows her the time for personal reflection formerly denied to her in her busy life constantly occupied by physical and spiritual labor for others. Instead of earning satisfaction from the subsumption of her creative energy under William Wordsworth's poetical endeavor, Dorothy Wordsworth finally starts to affirm her own poetic identity that can properly express her inner vision and artistic talent. Although this final affirmation remains largely incomplete due to her later mental collapse bordering on madness, it powerfully conveys the hidden literary aspiration of the formerly frustrated female poet.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.54-63
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• 2021

Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.113-120
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• 2023

Smart farms are steadily increasing in research to minimize labor, energy, and quantity put into crops as IoT technology and artificial intelligence technology are combined. However, research on efficiently managing crop growth information in smart farms has been insufficient to date. In this paper, we propose a management technique that can efficiently monitor crop growth information by applying autonomous sensors to smart farms. The proposed technique focuses on collecting crop growth information through autonomous sensors and then recycling the growth information to crop cultivation. In particular, the proposed technique allocates crop growth information to one slot and then weights each crop to perform load balancing, minimizing interference between crop growth information. In addition, when processing crop growth information in four stages (sensing detection stage, sensing transmission stage, application processing stage, data management stage, etc.), the proposed technique computerizes important crop management points in real time, so an immediate warning system works outside of the management criteria. As a result of the performance evaluation, the accuracy of the autonomous sensor was improved by 22.9% on average compared to the existing technique, and the efficiency was improved by 16.4% on average compared to the existing technique.

• The Journal of Information Systems
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• v.32 no.4
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• pp.137-147
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• 2023

Purpose The domestic aquaculture industry in South Korea utilizes both formulated feeds and live feeds for the cultivation of fish. While nutrient-rich live feeds, particularly using fry, have been preferred since the past, formulated feeds are gaining attention due to issues related to overfishing and environmental concerns. Formulated feeds are advantageous for storage and supply but require a sustained feeding regimen due to the comparatively slower growth rate compared to live feeds. As the aging population in rural areas leads to a shortage of labor, automated feeding systems are increasingly being adopted in aquaculture facilities. To enhance the efficiency of such systems, it is crucial to quantitatively analyze the behavioral changes in fish based on the presence or absence of feed. Design/methodology/approach In the study, RGB cameras and infrared cameras were used to analyze fish activity according to feeding, and an outline extraction algorithm was applied to analyze the differences resulting from this. Findings Unlike RGB cameras, infrared cameras are more suitable for analyzing underwater fish activity as they convert objects' thermal energy into images. It was observed that Canny, Sobel, and Prewitt filters showed the most distinct identification of fish activity.

• Geophysics and Geophysical Exploration
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• v.23 no.2
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• pp.72-88
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• 2020

Recent rapid advances in computer hardware performance have led to relatively low computational costs, increasing the number of applications of machine-learning techniques to geophysical problems. In particular, deep-learning techniques are gaining in popularity as the number of cases successfully solving complex and nonlinear problems has gradually increased. In this paper, applications of seismic data denoising methods using deep-learning techniques are introduced and investigated. Depending on the type of attenuated noise, these studies are grouped into denoising applications of coherent noise, random noise, and the combination of these two types of noise. Then, we investigate the deep-learning techniques used to remove the corresponding noise. Unlike conventional methods used to attenuate seismic noise, deep neural networks, a typical deep-learning technique, learn the characteristics of the noise independently and then automatically optimize the parameters. Therefore, such methods are less sensitive to generalized problems than conventional methods and can reduce labor costs. Several studies have also demonstrated that deep-learning techniques perform well in terms of computational cost and denoising performance. Based on the results of the applications covered in this paper, the pros and cons of the deep-learning techniques used to remove seismic noise are analyzed and discussed.

• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.71-77
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• 2016

Solar energy is a viable source to replace fossil fuels. However, challenges associated with site selection for solar panel installation inhibit the uptake of solar energy systems. Expressway slopes offer a potentially attractive alternative for solar panel installation for the following reasons: expressway slopes are vacant public sites, they are abundant (about 4,193km in South Korea), and they are linear in nature. Traditoinally when selecting sites for solar systems conventional surveying methods are employed. Unfortunately, these methods can be dangerous, time consuming, and labor intensive. To overcome these limitations of conventional site selection methodologies, we propose an automated approach using numerical maps. First, contour and expressway polylines are extracted separately from numeric maps. The extracted contour lines are then converted into a digital terrain model; this is used to calculate aspect and slope information. Next, the extracted expressway lines are projected onto a binary image and refined to recover the disconnections, and then applied to create a buffer zone to narrow the search space. Finally, all data sets are overlaid to identify candidate sites for solar panel systems and are visually verified through comparisons with aerial photos.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.73-82
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• 1985

This study was conducted to evaluate nutritional status with the analysis of the factors which might influence on the prevalent condition of nutrients-intake. 373 persons who are above 60 years old in Chung-Gu, Seoul were surveyed from March 15 to March 30 in 1985. Results were as follows ; 1. General Characteristics 1) Male respondents among the entire respondents comprised 54.3% and female respondents comprised 45.7%. As for age, male and female respondents comprised 55.0% and 37.2% respectively. 2) As for the educational level of the respondents, illiteracy was 49.9% which was the highest. and those who graduated elementary school was 28.1% which was the second highest. And as for the comparison of the education of the male and female respondents, the educational level of male respondents was much higher than that of female respondents. 3) As for the final occupation of the respondents, those who were engaged in commerce comprised 30.8% which was the highest rate, and who were engaged in agriculture comprised 20.1% which was the second highest rate. And those who were engaged in labor comprised 12.3%. 2. The State of Nutrients-intake The energy of the male respondents was 61.4% of RDA and the protein was nothing but 66.8% of RDA. Except vitamin A, vitamin $B_1$ and niacin, calcium, iron, vitamin $B_2$, vitamin C were lower than RDA (the range: $67.5%{\sim}97.3%$). The energy of the female respondents was 70.0% of RDA and the protein was 58.8% which were lower than RDA. Except vitamin A and vitamin $B_1$, calcium, iron, vitamin $B_2$ vitamin C, niacin were lower than RDA (the range: $68.2%{\sim}98.9%$). 3. The various factors related to nutrients-intake 1) The composition of family and the food environment those who were living with their spouses comprised 44.8% which was the highest rate, and those who were living with their son's family comprised 33.5% which was the second highest rate and those who were living with their doughter's family comprised only 4.6%. Those who were living alone comprised 16.4%. The correlation with nutrient intake didn't show a clear relation. 2) Socio-economic state Those who said that they lacked in living expense comprised 32.7% and those who said that they lacked in pocket-money comprised 23.9%, The female respondents outnumbered the male respondents in lacking living expense or pocket-money. In the correlation with socio-economic, there was no striking relation with education level. However, it was shown that little relation in energy, fat in male and also fat and iron in female. The living expense and the satisfaction in pocket-money had also little relation with energy fat and vitamin C in male. 3) Nutrition knowledge and food habit (a) The state of nutrition knowledge and food habit In nutrition knowledge, those who scored less than 60 points were 32.9%, and those who scored more than 90 points were 21.0%. In food habit, those who scored less than 60 points were 26.5% and those who scored more than 80 points were 45%. (b) The corelation with nutrition knowledge and food habit In case of female respondents, nutrition knowledge had a little relation with the intake of cabohydrate, iron, and vitamin C. And we couldn't see a distinct phenomenon in food habit.