• Journal of the Korean earth science society
• /
• v.42 no.3
• /
• pp.247-263
• /
• 2021

Climate change has been accelerating in coastal waters recently; therefore, the importance of coastal environmental monitoring is also increasing. Chlorophyll-a concentration, an important marine variable, in the surface layer of the global ocean has been retrieved for decades through various ocean color satellites and utilized in various research fields. However, the commonly used chlorophyll-a concentration algorithm is only suitable for application in clear water and cannot be applied to turbid waters because significant errors are caused by differences in their distinct components and optical properties. In addition, designing a standard algorithm for coastal waters is difficult because of differences in various optical characteristics depending on the coastal area. To overcome this problem, various algorithms have been developed and used considering the components and the variations in the optical properties of coastal waters with high turbidity. Chlorophyll-a concentration retrieval algorithms can be categorized into empirical algorithms, semi-analytic algorithms, and machine learning algorithms. These algorithms mainly use the blue-green band ratio based on the reflective spectrum of sea water as the basic form. In constrast, algorithms developed for turbid water utilizes the green-red band ratio, the red-near-infrared band ratio, and the inherent optical properties to compensate for the effect of dissolved organisms and suspended sediments in coastal area. Reliable retrieval of satellite chlorophyll-a concentration from turbid waters is essential for monitoring the coastal environment and understanding changes in the marine ecosystem. Therefore, this study summarizes the pre-existing algorithms that have been utilized for monitoring turbid Case 2 water and presents the problems associated with the mornitoring and study of seas around the Korean Peninsula. We also summarize the prospective for future ocean color satellites, which can yield more accurate and diverse results regarding the ecological environment with the development of multi-spectral and hyperspectral sensors.

• 대한공업교육학회지
• /
• v.44 no.1
• /
• pp.52-71
• /
• 2019

The quality of school education is a key element for national education development. An important factor that determines the quality of school education is qualities of teachers who are in responsible for school education in the field. Therefore, it is necessary to hire competent teachers in the teacher appointment exam for the secondary school. This necessity is evident especially for vocational high schools and Meister high schools with the introduction of 2015-revised curriculum based on NCS that separates each three subjects, "Electrical, Electronics Communication" resulting in the change of question mechanism, which requires new designing of assessment and content area. So, this study analyzes curriculum in college of education for "Electrical", "Electronics", "Communication", 2015-revised curriculum based on NCS and the development of standards for teacher qualifications and assessment area and evaluation of teaching ability in the subjects of the teacher appointment exam, "Electrical, Electronics Communication" Engineering" in 2009. The assessment area and content elements of "Electrical", "Electronics", "Communication are extracted from the analyzed results and they are verified by experts' consultation and presented as follows; First, the assessment area and content elements of the "Electrical" subject were designed to evaluate the NCS - based 2015 revised curriculum by presenting the NCS learning module to the evaluation area and content element in the basic subject "Electrical and Electronics Practice". Second, the section of "Electronics" presented the assessment area and content elements applying the Electronic Circuit, basic subject of the NCS and it also added "Electromagnetics", which is the basic part of Electronics in the Application of Electromagnetic waves that could be applied to the assessment. Third, the assessment area and content elements of "Communication" consist of the communication-related practice that is based on "Electrical" and "Electronic", considering the characteristics of "Communication Engineering". In particular, "Electrical and Electronics practice" which adds network construction practice and communication-related practice makes it to be able to evaluate the communication-related practical education.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.66 no.2
• /
• pp.138-145
• /
• 2021

Perilla contains more than 60% of fatty acids. Linolenic acid is effective in preventing heart disease, improving learning ability, treating allergies, and preventing cancer. This study was carried out to improve the cultivation method to aid the stable production of perilla by developing a suitable inter-cropping system with sesame in the central region as well as to report a suitable planting time. The test results are summarized as follows. As the planting time of perilla in the inter-cropping system with sesame was delayed, the number of clusters and capsules decreased. The perilla yields in this system showed significant differences compared to that with the previous crops (sesame varieties) and planting period. The yield of perilla was significantly lower in the characteristic-Type B variety than in the characteristic-Type A variety and decreased significantly as the planting time was delayed. With regards to the quality characteristics of perilla, such as crude protein, crude fat, etc., there were no differences between previous perilla crops and those inter-cropped with sesame. The perilla composition did not show any difference during the planting period; however, with delay in the planting time, crude protein content increased but crude fat content decreased. Yield of perilla was 38% higher in a two-row (40 x 40 cm) system, compared to a single-row cultivation (110 x 20 cm) of perilla inter-cropped with sesame. These results suggest that the suitable method for inter-cropping perilla with sesame in the central region is to sow the characteristic-Type A variety in early May, and cultivate the perilla in two lines (40 x 40 cm) in mid-June. This was judged to be the best cultivation method in the central region.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.117-133
• /
• 2021

The art of the Confucian literati' was mainly centered on literati' painting. Literary paintings combined with poem-writing-painting are based on the literary characters and studies. This is usually based on the technique of Shensi(神似) caused by a hobby accomplishment, enjoying the chinese painting and cherishing with chinese painting. The Confucian literati' cultivated their own character and sublimated humanism to art based on studying. They sought the life of supremacy and supreme gentleness, and enjoyed life on the boundary of pleasure through art. The aim of the Confucian literati' arts lies in the pursuit of expressing the artist's inner world, spirit, and the combination of the Confucian and the Taoism, Because of literati's spirit based on learning, the Confucian literati' arts still exist. The aesthetic of Sunbi Spirit is mainly in the customs of Sunbi, the loyalty of Sunbi, the Silhak(實學) of Sunbi, and loving of the people of Sunbi. We can find honor and loyalty in the Sunbi spirit of the Confucian literati' of the Joseon Dynasty. In addition, it is also possible to observe the loyal troops, the hard work for the country, and the Pung-ryu with nature. In other words, the Sunbi honor, loyalty, loyal troops, pursuit of study and the Pung-ryu show the spirit of the Confucian literati' of Joseon Dynasty. The aesthetic of the Sunbi spirit is in Pung-ryu, loyalty, Silhak, loving of the people etc. The aesthetic of experience of art is mainly based on the aesthetic experience by emotional intelligence and the aesthetic experience according to the individual's inclination. The aesthetic sense actually shows Pung-ryu, loyalty, Silhak and love etc. We can see it in many of our literary paintings. Therefore, the Confucian literati' painting in Chosun Dynasty were the intentionality of the mind and the intentionality of the spare. Furthermore, it has directivity of expressing the artist's inner world, directivity of substance, so it is possible to see that the characteristics of the Sunbi spirit are diverse.

• Korean Journal of Comparative Education
• /
• v.27 no.4
• /
• pp.255-283
• /
• 2017

The purpose of this study is to analyze the comtent of the education system of US and the UK in order to build an integrated system that can develop the leadership competency of preschool principle. Based on this, the implications are as follows. First, competencies can developed through learning rather than fixed. Therefore, re-conceptualization of leadership competence appropriate to the characteristics and organization of the individual as the presiding authority of the preschool can be considered as ability to show visible knowledge and skills, invisible self concept. Therefore, it is necessary to establish a capacity development plan based on this. Second, the introduction and implementation of continuous and systematic training programs such as the training system that strengthens the capacity of the directors and principals of the United States and the United Kingdom is necessary. To do this, we must introduce a system that renews certification every five years, like the United States, rather than a system that acquires and maintains certification with a single training. Third, various training methods should be carried out. In the case of the US and the UK, we think it is desirable to train in various ways in the training period, the university, the teacher center, and the private organization or association. Therefore, it is necessary to build a cooperation system with various institutions such as training institutes, universities, teacher centers, educational information research institutes, and private organizations in each province, and strengthen them in various ways. Fourth, the contents and methods of qualification training and future job training of the director of the preschool should be deviated from the uniform level. Therefore, the systematic research that reflects the knowledge and contents of the administration required in the field should be given priority by the university or research organization that is in charge of the training.

• Journal of Intelligence and Information Systems
• /
• v.27 no.2
• /
• pp.17-32
• /
• 2021

Speaker recognition is generally divided into speaker identification and speaker verification. Speaker recognition plays an important function in the automatic voice system, and the importance of speaker recognition technology is becoming more prominent as the recent development of portable devices, voice technology, and audio content fields continue to expand. Previous speaker recognition studies have been conducted with the goal of automatically determining who the speaker is based on voice files and improving accuracy. Speech is an important sociolinguistic subject, and it contains very useful information that reveals the speaker's attitude, conversation intention, and personality, and this can be an important clue to speaker recognition. The final ending used in the speaker's speech determines the type of sentence or has functions and information such as the speaker's intention, psychological attitude, or relationship to the listener. The use of the terminating ending has various probabilities depending on the characteristics of the speaker, so the type and distribution of the terminating ending of a specific unidentified speaker will be helpful in recognizing the speaker. However, there have been few studies that considered speech in the existing text-based speaker recognition, and if speech information is added to the speech signal-based speaker recognition technique, the accuracy of speaker recognition can be further improved. Hence, the purpose of this paper is to propose a novel method using speech style expressed as a sentence-final ending to improve the accuracy of Korean speaker recognition. To this end, a method called sentence sequencing that generates vector values by using the type and frequency of the sentence-final ending appearing in the utterance of a specific person is proposed. To evaluate the performance of the proposed method, learning and performance evaluation were conducted with a actual drama script. The method proposed in this study can be used as a means to improve the performance of Korean speech recognition service.

• Korean Journal of Remote Sensing
• /
• v.36 no.6_1
• /
• pp.1465-1483
• /
• 2020

Evapotranspiration is a concept that includes the evaporation from soil and the transpiration from the plant leaf. It is an essential factor for monitoring water balance, drought, crop growth, and climate change. Actual evapotranspiration (AET) corresponds to the consumption of water from the land surface and the necessary amount of water for the land surface. Because the AET is derived from multiplying the crop coefficient by the reference evapotranspiration (ET0), an accurate calculation of the ET0 is required for the AET. To date, many efforts have been made for gridded ET0 to provide multiple products now. This study presents a comparison between the ET0 products such as FAO56-PM, LDAPS, PKNU-NMSC, and MODIS to find out which one is more suitable for the local-scale hydrological and agricultural applications in Korea, where the heterogeneity of the land surface is critical. In the experiment for the period between 2016 and 2019, the daily and 8-day products were compared with the in-situ observations by KMA. The analyses according to the station, year, month, and time-series showed that the PKNU-NMSC product with a successful optimization for Korea was superior to the others, yielding stable accuracy irrespective of space and time. Also, this paper showed the intrinsic characteristics of the FAO56-PM, LDAPS, and MODIS ET0 products that could be informative for other researchers.

• Journal of the Daesoon Academy of Sciences
• /
• v.39
• /
• pp.69-97
• /
• 2021

'Déconstruction' is a system of thought that induces the emergent property that characterizes contemporary philosophy. The tradition of ancient Greek philosophy evolved over and over again, giving rise to the Renaissance and Enlightenment. It seemed to have reached its end under the historical perspective of modernity. However, contemporary philosophy wanted to see more possibilities through the deconstruction of modern philosophy. If modern philosophy dreams of a strange cohabitation between God and man with the humanistic completion of Plato's philosophy, modern philosophy rejects even that through deconstruction. Although Plato's classical metaphysics is a stable system centered around the absolute, it is ultimately based on God and religion. Under that system, human autonomy is only the autonomy bestowed by God. Contemporary philosophy is one of the results of efforts that try to begin philosophy from the original human voice through deconstruction. Instead of epistemology dependent on metaphysics, they wanted to establish epistemology from human existence and realize the best good that would set humans free through deconstruction. As such, it is no mistake to say that deconstruction is also an extension of the modern topic of human freedom. Deconstruction and human freedom act as one body in that the two cannot be separated from each other. Oddly enough, Daesoon Thought, which seems to have religious faith and traditional conservatism as main characteristics, has an emergent property that encompasses modern and contemporary times. The period of Korea, when Kang Jeungsan was active and founded Daesoon Thought, has an important meaning for those who have a keen view of history. Such individuals likely think that they have found a valuable treasure. This is because that period was a time when ideological activities were conducted due to an intense desire to discover the meaning of human freedom and envision a new world without copying the ways of the West. Instead they looked to face internal problems and raise people's awareness through subjectivity. In other words, the subtle ideas created by Korea's self-sustaining liberalism often take the form of what is commonly called new religions in modern times. Among these new religions, Daesoon Thought, as a Chamdonghak (true Eastern Learning), aims to spread a particular modern value beyond modern times through the concept of Haewon (the resolution of grievances) that was proclaimed by Jeungsan. The Haewon espoused in Daesoon Thought is in line with the disbandment of modern philosophy in that it contains modernity beyond modern times. First, Haewon means to resolve the fundamental resentment of human existence, which arose from Danju's grievance. Secondly, Haewon in Daesoon Thought encompasses the Haewon of the Three Realms of Heaven, Earth, and Humanity centers on a Haewon-esque style of existence called Injon (Human Nobility). Haewon in Daesoon Thought can be understood in the same context as Derrida's philosophy of Deconstruction. Modern deconstruction attempts to expose the invisible structures and bonds within human society and attempt to destroy them. In a similar way, Haewon endeavors to resolve the conflicts among the Three Realms by releasing the bonds of fundamental oppression that hinder the Three Realms of Heaven, Earth, and Humanity.

• Korean Journal of Remote Sensing
• /
• v.38 no.3
• /
• pp.265-282
• /
• 2022

Sea surface temperature (SST) is a factor that greatly influences ocean circulation and ecosystems in the Earth system. As global warming causes changes in the SST near the Korean Peninsula, abnormal water temperature phenomena (high water temperature, low water temperature) occurs, causing continuous damage to the marine ecosystem and the fishery industry. Therefore, this study proposes a methodology to predict the SST near the Korean Peninsula and prevent damage by predicting abnormal water temperature phenomena. The study area was set near the Korean Peninsula, and ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF) was used to utilize SST data at the same time period. As a research method, Long Short-Term Memory (LSTM) algorithm specialized for time series data prediction among deep learning models was used in consideration of the time series characteristics of SST data. The prediction model predicts the SST near the Korean Peninsula after 1- to 7-days and predicts the high water temperature or low water temperature phenomenon. To evaluate the accuracy of SST prediction, Coefficient of determination (R²), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) indicators were used. The summer (JAS) 1-day prediction result of the prediction model, R²=0.996, RMSE=0.119℃, MAPE=0.352% and the winter (JFM) 1-day prediction result is R²=0.999, RMSE=0.063℃, MAPE=0.646%. Using the predicted SST, the accuracy of abnormal sea surface temperature prediction was evaluated with an F1 Score (F1 Score=0.98 for high water temperature prediction in summer (2021/08/05), F1 Score=1.0 for low water temperature prediction in winter (2021/02/19)). As the prediction period increased, the prediction model showed a tendency to underestimate the SST, which also reduced the accuracy of the abnormal water temperature prediction. Therefore, it is judged that it is necessary to analyze the cause of underestimation of the predictive model in the future and study to improve the prediction accuracy.

• Journal of Science Education
• /
• v.45 no.3
• /
• pp.292-303
• /
• 2021

This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.