• Journal of Popular Narrative
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• v.26 no.4
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• pp.145-181
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• 2020

This study analyzes type variations of the 'stepmother' and 'sister' in the full-length novels of Park Kyong-Ni and attempted to point out their meanings. The pattern of "negative stepmother" that appeared in classical and new novels also appeared repeatedly in Park Kyong-Ni's full-length novels and this was because a change took place in later full-length novels. Novels analyzed with focus were Jaegwiyeol(1959), Eunha(1960), Kimyakgukeue Ddaldeul(1962), and Nabiwa Unggungkwi(1969). The stepmother that appears in Eunha is a type that appears often in the classic and new novels of Korea. While the stepmother newly gained the role and status of 'mother', she forms a competitive relationship with the daughter of the former wife while still refusing to be a member of the family and she puts the former wife's daughter in critical situations by committing misdeeds. However, the young stepmother in Nabiwa Unggungkwi actually becomes a victim to the malicious and morbid harassment of the former wife's daughter. This stepmother is a good-natured figure who shows a sense of guilt for failing to fulfill her responsibilities of upbringing and education and she eventually dies as a victim to a bomb during the war, leaving her young biological daughter behind. On one hand, the sisters in Jaegwiyeol and Kimyakgukeue Ddaldeul are not strongly bonded but when one is caught in a crisis, the other one claims to be of help. Unlike this, the sisters in Nabiwa Unggungkwi have a bond that cannot be broken. They are half-sisters that bind each other so severely that they hinder each other's growth and they eventually end up disintegrating. Through such analyses, it is shown that issues of human nature are dealt with more acutely by breaking the 'young stepmother' away from convention by placing her in the position of the victim to amplify the conflicting relationship between sisters, unlike in previous pieces. This study was significant in that it looked into how previously repetitive character type changes appeared in full-length novels in conditions that clearly display the writer's determination to leave behind a masterpiece.

• Korean Journal of Environment and Ecology
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• v.38 no.2
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• pp.148-155
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• 2024

This study investigated the ecological characteristics of Odontobutis platycephala at Jaho stream from January to December 2022. The riverbed structure of the species' habitat was rich in cobble and pebble. The water was deep, ranging from 22 to 153 cm, with an average of 64 cm, and the stream velocity was rapid at 0.89 (0.42-1.46) m/sec. The ratio of females to males was 1:1.02, and the total length of collected individuals ranged from 38 to 156 mm. The age according to the total length frequency distribution as of May indicated that the group with a total length of 38-69 mm was one year old, the group with 60-99 mm was two years old, the group with 100-139 mm was three years old, and the group 140-156 mm was four years or older. As a secondary gender characteristic, the genital papilla was cylindrical in females and cone-shaped with a pointed tip in males. Some females with a length ranging from 60 to 69 mm and all females 70 mm or longer were sexually mature. Some males with a length ranging from 70 to 79 mm and all males 80 mm or longer were sexually mature. The spawning season was from May to July, and the water temperature was between 17 ℃ and 28 ℃ during that period. The prosperous spawning season was June (24 ℃). The average number of eggs in the ovaries was 988 (284-2,722) per mature female, and the mature eggs were yellowish and spherical with a mean diameter of 1.46 (1.19-1.71) mm. The correlation between total length and body weight is BW=0.00000006TL^3.12 with the constant a as 0.00000006 and the parameter b as 3.12. The mean condition factor (K) was 1.44 (0.96-2.26), and the slope was negative at -0.0007

• The Journal of Korean Society for Radiation Therapy
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• v.16 no.1
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• pp.39-50
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• 2004

This study was carried out to evaluate the effect of general and occupational characteristics musculoskeletal symptoms in Radiological Technologist who working in present department more than 1 year. Standardized questionnaire of NIOSH and organized questionnaire for 재rk-related musculoskeletal was to 72Radiological Technologist, employed in 6general hospital in Seoul in September, 2003. The symptom prevalence rate of musculoskeletal symptoms were neck ($33.3\%$), shoulder ($33.3\%$), arm($12.5\%$), hand($13.9\%$), spine($34.7\%$)leg/knee/foot ($31.9\%$), arm/wrist/hand ($16.5\%$).

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.2
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• pp.123-133
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• 2020

Four LEDs (blue, green, red, and white light) were tested to identify the most attractive wave length to utilize as the forecasting tools for the B. tabaci in glass houses. Attractiveness was evaluated by the total number of the B. tabaci attached to a yellow sticky trap. In the condition of no host plant supplement, the attraction efficacy was ordered from high to low as blue light (107.3±2.5), white light (83.0±12.1), red light (58±21.8), and green light (39.7±8.1). In the supplement of the host plant, the attraction was observed in the order of blue light (52±17.4), red light (38.7±5.8), green light (12.7±1.5), and white light (11.7±5.0). In both experimental conditions, blue light showed the highest attraction. In terms of the host plant effect to LED attraction, it varied following as white light (85.9%), green light (68.1%), blue light (51.6%), and red light (33.3%). This result suggests that red light is the least affected by the host plant. In the evaluation of the relative control efficacy, it was determined following as red light (66.7%), blue light (48.5%), green light (31.9%) and white light (14.1%) (F_3,8 = 14.7, P = 0.001). Taken together, blue light had a very high initial attraction, and red light was revealed low attraction effect by the supplement of the host plant. In field demonstration experiments, a high attractive efficacy was not observed due to low-temperature conditions, but similar higher attractive efficacy was observed in blue and red lights compared to the control. The commercialization of LEDs using red and blue in the future is expected to provide important information regarding B. tabaci population density forecast in glass house.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.40 no.2
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• pp.14-23
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• 2022

The purpose of this study is to preserve the sustainable traditional landscape of the "Terraced Paddy Fields of Gacheon Village, Namhae". To this end, the changes in the traditional landscape and its factors were analyzed, and a conservation plan was sought to coexist with local communities. The results are as follows; First, the traditional scenery of "Terraced Paddy Fields of Gacheon Village, Namhae" is characterized by stonework built on a steep topography to secure cultivated land and narrow rice fields. To this end, local communities have maintained the traditional landscape through their long-established traditional knowledge, but after the designation of cultural heritage, the unique landscape of the "Terraced Paddy Fields of Gacheon Village, Namhae" changed as standardized stone construction methods were applied. Recently, the Cultural Heritage Administration recognized these problems and returned to the direct repair system of local communities, so cultivated land is regaining the scenery of the past. Second, the factors that changed the traditional landscape of the "Terraced Paddy Fields of Gacheon Village, Namhae" were largely found to be a decrease in voluntary conservation consciousness, a limited management range of preservation society, a decrease in agricultural population, and a lack of skilled traditional skills. After the designation of cultural heritage, expectations for policy support by the state or local governments accelerated the damage as existing farmland was neglected, and the lack of agricultural population also resulted in the same result. The preservation society is making efforts to preserve it, but the phenomenon of excessive and insufficient management personnel is intensifying. Conflicts between residents due to profit polarization have spread to the problem of escalating. In addition, there are concerns about the loss of traditional knowledge such as step farming technology and stone construction functions. Third, to suggest a win-win plan with local communities for preserving the traditional landscape, it is necessary to seek the ways to expand farming participants and generate profits through the placement of professional careers and public-private linkage system. In addition, it is desirable to improve the profit distribution system through the preservation society to strengthen the management authority and induce participation. And a support system is required for education on the transmission of terraced farming technology and stone construction functions.

• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.9-21
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• 2024

Objective : The purpose of this study was to confirm the characteristics and quality of a single-subject research that conducted interventions to improve activities of daily living (ADL) in stroke patients. Methods : 'Stroke,' 'activities of daily living,' and 'single-subject studies' were searched as keywords among papers published in the last 15 years between 2009 and 2023 among Research Information Sharing Service, DBpia, and e-articles. A total of nine papers were examined for the characteristics and quality before analysis. Results : The independent variables applied to improve ADL included constraint-induced therapy, mental practice for performing functional activities, virtual reality-based task training, subjective postural vertical training without visual feedback, bilateral upper limb movement, core stability training program, traditional occupational therapy and neurocognitive rehabilitation, smooth pursuit eye movement, neck muscle vibration, and occupation-based community rehabilitation. Assessment of Motor and Process Skills was the most common evaluation tool for measuring dependent variables, with four articles, and Modified Barthel Index and Canadian Occupational Performance Measure were two articles each. As a result of confirming the qualitative level of the analyzed papers, out of a total of nine studies, seven studies were at a high level, two at a moderate level, and none were at a low level. Conclusion : Various types of rehabilitation treatments have been actively applied as intervention methods to improve the daily life activities of stroke patients; the quality level of single-subject studies applying ADL interventions was reliable.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.