Park, Jeonghwan;Song, Soobin;Seo, Sang Young;Jeon, Sook Lye
Journal of Sensor Science and Technology
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v.31
no.3
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pp.180-186
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2022
Photosynthetically active radiation flux density (PPFD) and daily light integral (DLI) values related to plant photosynthesis were obtained using the sunlight time and insolation data points in the agricultural weather sensor data for Jinan-gun, Jeollabuk-do, Korea from 2016 to 2020. The objective was to optimize the photo-environmental conditions for cultivating ginseng. The range of average monthly sunshine duration was 395.5-664.1 min, with the longest duration observed in June. The range of average annual accumulated daily insolation was 11.98-17.65 MJ·m-2. The range of average daily external DLI calculated from the insolation and solar time data was 22.3-36.1 mol·m-2·d-1, and the annual cumulative DLI was 8,156-13,175 mol·m-2·d-1. Both the insolation and DLI values were the highest in 2016 and lowest in 2020. Based on the PPFD required for ginseng growth (111-185 µmol·m-2·s-1), the monthly average daily DLI and monthly cumulative DLI were 3.51-5.87 and 82-228 mol·m-2·d-1, respectively. The range of five-year average value for the external monthly cumulative DLI was 298-1,459 mol·m-2·d-1, and the monthly cumulative DLI values when a black double shading film and blue-white shading film were applied were 101-496 and 36-175 mol·m-2·d-1, respectively. A comparative analysis of DLI values indicated that shading was required to ginseng growth throughout the year under natural light. When the black double shading film was used, shading was required from March to October. When the blue-white shading film was applied from April to August, (i.e., the period with active ginseng growth) the appropriate DLI for ginseng growth could be continuously maintained. Regional weather differences due to climate change are gradually increasing, and even in one region, monthly and cumulative DLI values are different every year. Therefore, in order to implement a precise agricultural environment for ginseng cultivation, precise analysis and continuous research using agricultural weather sensor big data is required.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.8
no.4
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pp.517-531
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2018
This study was carried out for the purpose of investigating Uzbekistan students's adaptation to Korea college life. Qualitative interviews were conducted in regards to the motivation for college entrance and stresses incurred during college life for 10 Uzbekistan students who were studying at I college located in Incheon. Data from the interviews were analyzed using theme analysis method. Most of the participants in this study got information about Korean colleges through their overseas study exhibitions in their own countries and became Korea college. The results showed that the reasons for college enrollment were (1)preparation for future goals (2)the influence of family. In Uzbekistan, parents play a big role in determining their children's education. Therefore, their decision to study abroad and the role of their parents were significant. The stress they experienced in college life fell into five categories, namely, (1)financial stress (2)stress about studies (3) stress in regards to human relationships (4)stress in regards to their futures and getting a job. In addition, this study discussed how to solve such as problems experienced by Uzbekistan students. And also the role of college and the necessity of providing appropriate support programs were discussed. Finally, the implications of these findings were presented.
Journal of the Korean Institute of Landscape Architecture
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v.51
no.3
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pp.54-69
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2023
This study investigated the distribution of users in urban parks to overcome the limitations of existing research, which made it difficult to determine where data came was collected. It aimed to provide implications for park planning and management based on user distribution using mobile signal data. Five urban parks in Seongdong-gu, Seoul, with various physical characteristics, were selected. Mobile signal data provided by the Seoul Big Data Campus was used to identify the distribution of user inflow through hot spot analysis per park. The relationship between urban context and park influence area was derived. Seoul Forest (P1) and Seongsu Park (P3), which have a high proportion of commercial spaces around the park, showed wider user hotspots compared to Eungbong Park (P2), Dokseodang Park (P4), and Daehyunsan Park (P5), which were located in residential areas. Parks with a significant presence of commercial spaces had a broader influence, while parks with larger sizes and gentle slopes exhibited wider influence areas. This study proposed a novel data-based approach to urban park planning and management based on the inflow distribution of park users. Through this research, valuable insights were derived that could be utilized for urban park planning and management, aiming to enhance the effectiveness and efficiency of park utilization.
Journal of the Korea Society of Computer and Information
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v.28
no.12
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pp.239-248
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2023
The purpose of this study is to analyze the factors for service contracts that affect the successful bid price rate, focusing on the case of the country market. In the study, ordering organizations and bidders differentiated themselves from existing studies by analyzing service contracts that affect the successful bid price rate in a wide range of country markets. Comparative analysis of the awarding price ratio for services, this work provides a comparable result to the existing results in the previous literature. The analytical model used five independent variables such as budget, contract method, the days of the public notice, the awarding method, and the lowest awarding ratio. In the survey and analysis, big data was collected using text mining for service bids for Nara Market over the past 18 years and data was analyzed in a multi-dimensional way. The results of the analysis are as follows, (1) if budget does not determine the awarding price ratio. This is not the case in small amounts. (2) The contract method affects the awarding price ratio. (3) The days of the public notice increase, the awarding price ratio decrease. (4) the awarding method affects the awarding price ratio. (5) The lowest awarding ratio determines the awarding price ratio. Based on the results of empirical analysis, policy implications were sought.
The Journal of the Convergence on Culture Technology
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v.9
no.6
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pp.25-31
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2023
The dispute over the Northern Limit Line in the West Sea has been sharply opposed since the U.N. commander set it in August 1953 with the aim of preventing accidental armed conflict between the two Koreas in the waters of the Korean Peninsula. In 2022, for the first time since the division, North Korea made a missile provocation beyond the NLL. The purpose of this study is to identify how the research on the NLL, which is under way by North Korea's actual provocation, has been conducted and to suggest a direction to proceed. This study examined the trend of research using a total of five academic information DBs, including RISS and Scholar, focusing on academic papers studied on NLL from 1998 to 2023. As a result of examining the current status of each year, field, and research method, significant differences in research volume were identified according to the government's relationship with North Korea, and the research field had the most introduction of the concept of NLL and historical background, confirming the need to expand to more diverse fields to have international legal justification and justification for the NLL, considering the changing international environment according to the logic of power. In terms of final research methods, most of them were literature studies, so the need for quantitative research using interviews, surveys, and big data was also found. It is hoped that the analysis results of this paper will play a positive role in setting the research direction for the international response of the NLL in the future amid the interests of the international political environment that is still ongoing.
This study primarily aimed to develop an automated stuttering identification and classification method using artificial intelligence technology. In particular, this study aimed to develop a deep learning-based identification model utilizing the convolutional neural networks (CNNs) algorithm for Korean speakers who stutter. To this aim, speech data were collected from 9 adults who stutter and 9 normally-fluent speakers. The data were automatically segmented at the phrasal level using Google Cloud speech-to-text (STT), and labels such as 'fluent', 'blockage', prolongation', and 'repetition' were assigned to them. Mel frequency cepstral coefficients (MFCCs) and the CNN-based classifier were also used for detecting and classifying each type of the stuttered disfluency. However, in the case of prolongation, five results were found and, therefore, excluded from the classifier model. Results showed that the accuracy of the CNN classifier was 0.96, and the F1-score for classification performance was as follows: 'fluent' 1.00, 'blockage' 0.67, and 'repetition' 0.74. Although the effectiveness of the automatic classification identifier was validated using CNNs to detect the stuttered disfluencies, the performance was found to be inadequate especially for the blockage and prolongation types. Consequently, the establishment of a big speech database for collecting data based on the types of stuttered disfluencies was identified as a necessary foundation for improving classification performance.
KSCE Journal of Civil and Environmental Engineering Research
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v.34
no.2
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pp.583-595
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2014
Currently, Korean transportation policies are aiming for increase of safety and environment-friendly and efficient operation, by avoiding construction and expansion of roads, and upgrading road alignments and facilities. This is revealed by that there have been 22 road expansion projects (30%) and 50 road improvement projects (70%) under the 3rd Five-Year Plan for National Highways ('11~'15), while there were 53 road expansion projects (71%) and 22 road improvement projects (29%) under the 2nd Five-Year Plan for National Highways. For more effective road improvement projects, there is a need of choosing projects after an objective and scientific safety assessment of each road, and assessing safety improvement depending on projects. This study is intended to develop a model for this road safety analysis and assessment. The major objective of this study is creating a road safety analysis and assessment model appropriate for Korean society, based on the HSM (Highway Safety Manual) of the U.S. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. The collected data was processed correlation analysis of each road element was implemented to see which factor had a big effect on traffic accidents. On the basis of these results, then, an accident model was established as a negative binomial regression model.Using the developed model, an Crash Modification Factor (CMF) which determines accident frequency changes depending on safety performance function (SPF) predicting the number of accident occurrence through traffic volume and road section expansion, road geometric structure and traffic properties, was extracted.
The survey on dental health condition and eating habit of local residents in Daegu and Kyungbuk had been conducted. Through the analysis of influence of dental health condition on eating habit I could get the following result. The number of subjects of survey is 630. The period of survey is from June 2006 to September 2006. 1. General quality of subjects is that forty-four point four percent of subjects are male and fiftyfive pointsix percent are female. The age of thirty point one percent of subjects is between 20 and 29. Fifty-six point two percent of subjects are married. Fifty-one point four percent of subjects have above bachelor degree. Monthly income of forty-four point eight percent of subjects is less than one million won. Twenty-four point four percent of subjects are students. Fifty-five point seven percent of subjects are living in big cities. 2. Forty-seven point seven percent of male and fifty-one point eight percent of female answered their subjective dental health condition is bad. Marital status, age and academic background have relationship with answer. Forty-three point nine percent of married subjects and forty-one point five percent of divorced or bereaved subjects said they have bad dental health condition. The older he is or the lower academic background he has subjects think they have bad dental health condition. Forty-seven point four percent of non-educated subjects answered their dental health condition is bad. Forty-six percent of self-employed subjects and subjects who live in the country have tendency to think their dental health condition is bad. 3. About eating habit knowledge, male's knowledge of 2.03$\pm$0.20 is lower than female's of 2.08$\pm$0.21. This shows there is statistically significant difference(p<0.01). 4. There is significant relationship between subjective dental health condition and health condition of subjective. This means subject who has better health condition has also better dental health condition(37.5%). About subjective dental health condition, subject who eats restoratives has worse dental health condition. This shows there is a relationship between dental health condition and eating restoratives(p=0.004) and subject who works out steadily has better dental condition. 5. About relation between dental health condition and eating habit, subject who eats vegetables has worse dental health condition by fifty point seven percent. As cross tabulation result, p-value is 0.002. In level of significance of 0.05, there is statistically significant difference in eating habit. 6. It seems that eating habit has an effect on marital status, age, academic background, income and also on dental prosthetic treatment situation. Many subjects think their dental health condition is bad. About eating habit, subjects who eat meat have better dental health condition. Subjects who drink green tea and fruit juice has better dental health condition than who drink coffee and Balanced diet is good for dental health condition. As eating habit is important for developing dental health, government should make a proper program. Dental health education program especially for elderly, low-eduacted, residents in the country and poor people should be developed. Government, dental health organization, dental health specialist, associated research institution and people work in the press should be concerned and devote to improve quality of life. Primary prevention education will help for dental health.
Kim Mi Sook;Yoo Seoung Yul;Cho Chul Koo;Yoo Hyung Jun;Yang Kwang Mo;Je Young Hoon;Lee Dong Hun;Lee Dong Han;Kim Do Jun
Radiation Oncology Journal
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v.17
no.2
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pp.172-178
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1999
Purpose : To measure the basic structural characteristics of radiation oncology facilities in Korea during 1997 and to compare personnel, equipments and patient loads between Korea and developed countries. Methods and Materials : Mail serveys we conducted in 1998 and data on treatment machines, personnel and peformed new patients were collected. Responses were obtained from the 100 percent of facilities. The consensus data of the whole country were summarized using Microsoft Excel program. Results: In Korea during 1997, 42 facilities delivered megavoltage radiation theraphy with 71 treatment machines, 100 radiation oncologists, 26 medical physicist, 205 technologists and 19,773 new patients. Eighty nine percent of facilities in Korea had linear accelators at least 6 MeV maximum photon energy. Ninety five percent of facilities had simulators while five percent of facilities had no simulator, Ninety one percent of facilities had computer planning systems and eighty three percent of facilities reported that they had a written quality assurance program. Thirty six percent of facilities had only one radiation oncologist and thirty eight percent of facilities had no medical physicists. The median of the distribution of annual patients load of a facility, patients load per a machine, patients load per a radiation oncologist, patients load per a therapist and therapists per a machine in Korea were 348 patients per a year, 263 patients per a machine, 171 patients per a radiation oncologist, 81 patients per a therapist, and 3 therapists per a machine respectively. Conclusions : The whole scale of the radiation oncology departments in Korea was smaller than Japan and USA in population ratio regard. In case of hardware level like linear accelerators, simulators and computer planning systems, there was no big differences between Korea and USA. The patients loads of radiation oncologists and therapists had no significant differences as compared with USA. However, it was desirable to consider the part time system in USA because there were a lot of hospitals which did not employ medical physicists.
Park, Sin-Ae;Kim, Min-Gi;Yoo, Mung-Hwa;Oh, Myung-Min;Son, Ki-Cheol
Horticultural Science & Technology
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v.28
no.5
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pp.864-870
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2010
This study was conducted to determine the effects of foliage plants on reducing indoor carbon dioxide ($CO_2$). Five foliage plants such as $Hedera$$helix$ L., $Ficus$$benjamina$ L., $Pachira$$aquatica$, $Chamaedorea$$elegans$, and $Ficus$$elastica$ were selected and cultivated in two different growth medium (peatmoss and hydroball). Each plant was placed in an airtight chamber and then treated with the combinations of two different $CO_2$ concentrations (500 or 1,000 ppm) and two different light intensities (50 or $200{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$). The change of $CO_2$ concentration (ppm) in the airtight chamber during day and night was measured and then converted into the photosynthetic rate (${\mu}mol\;CO_2{\cdot}m^{-2}{\cdot}s^{-1}$). As the results, each foliage plant reduced $CO_2$ level in the airtight chamber for one hour by photosynthesis. $Pachira$$aquatica$ and $Ficus$$elastica$ absorbed $CO_2$ more effectively compared to the other plants. The plants exposed to higher $CO_2$ concentration (1,000 ppm) and higher light intensity ($200{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$) showed more effective $CO_2$ elimination rate and photosynthetic rate. The plants that have wide leaves and big leaf areas such as $Pachira$$aquatica$, $Hedera$$helix$ L.,and $Ficus$$elastica$ showed higher photosynthetic rate than the other plants that have smaller leaves. Released $CO_2$ concentration by respiration of the plants during the night was very low compared to the absorbed $CO_2$ concentration by photosynthesis during the day. There was no significant difference between peatmoss and hydroball medium on reducing $CO_2$ concentration and increasing photosynthetic rate. In conclusion, this study suggested that foliage plants can effectively eliminate indoor $CO_2$. Optimum environmental control in relation to photosyntheis and usage of right indoor foliage plants having lots of leaves and showing active photosynthesis even under low light intensity like indoor light condition would be required to increase the elimination capacity of indoor $CO_2$.
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