• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1261-1272
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• 2018

It is important to measure the Arctic surface air temperature because it plays a key-role in the exchange of energy between the ocean, sea ice, and the atmosphere. Although in-situ observations provide accurate measurements of air temperature, they are spatially limited to show the distribution of Arctic surface air temperature. In this study, we proposed machine learning-based models to estimate the Arctic surface air temperature in summer based on buoy data and Advanced Microwave Scanning Radiometer 2 (AMSR2)satellite data. Two machine learning approaches-random forest (RF) and support vector machine (SVM)-were used to estimate the air temperature twice a day according to AMSR2 observation time. Both RF and SVM showed $R^2$ of 0.84-0.88 and RMSE of $1.31-1.53^{\circ}C$. The results were compared to the surface air temperature and spatial distribution of the ERA-Interim reanalysis data from the European Center for Medium-Range Weather Forecasts (ECMWF). They tended to underestimate the Barents Sea, the Kara Sea, and the Baffin Bay region where no IABP buoy observations exist. This study showed both possibility and limitations of the empirical estimation of Arctic surface temperature using AMSR2 data.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.4
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• pp.307-326
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• 2021

Real-time sea level observations from tide gauges include missing and erroneous values. Classification as abnormal values can be done for the latter by the quality control procedure. Although the 3𝜎 (three standard deviations) rule has been applied in general to eliminate them, it is difficult to apply it to the sea-level data where extreme values can exist due to weather events, etc., or where erroneous values can exist even within the 3𝜎 range. An artificial intelligence model set designed in this study consists of non-annotated recurrent neural networks and ensemble techniques that do not require pre-labeling of the abnormal values. The developed model can identify an erroneous value less than 20 minutes of tide gauge recording an abnormal sea level. The validated model well separates normal and abnormal values during normal times and weather events. It was also confirmed that abnormal values can be detected even in the period of years when the sea level data have not been used for training. The artificial neural network algorithm utilized in this study is not limited to the coastal sea level, and hence it can be extended to the detection model of erroneous values in various oceanic and atmospheric data.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.197-203
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• 2024

The algal blooms in rivers can negatively affect water source management and water treatment processes, necessitating continuous management. In this study, a multi-classification model was developed to predict the concentration of chlorophyll-a (chl-a), one of the key indicators of algal blooms, using Tabular Prior Fitted Networks (TabPFN), a novel deep learning algorithm known for its relatively superior performance on small tabular datasets. The model was developed using daily observation data collected at Buyeo water quality monitoring station from January 1, 2014, to December 31, 2022. The collected data were averaged to construct input data sets with measurement frequencies of 1 day, 3 days, 6 days, 12 days. The performance comparison of the four models, constructed with input data on observation frequencies of 1 day, 3 days, 6 days, and 12 days, showed that the model exhibits stable performance even when the measurement frequency is longer and the number of observations is smaller. The macro average for each model were analyzed as follows: Precision was 0.77, 0.76, 0.83, 0.84; Recall was 0.63, 0.65, 0.66, 0.74; F1-score was 0.67, 0.69, 0.71, 0.78. For the weighted average, Precision was 0.76, 0.77, 0.81, 0.84; Recall was 0.76, 0.78, 0.81, 0.85; F1-score was 0.74, 0.77, 0.80, 0.84. This study demonstrates that the chl-a prediction model constructed using TabPFN exhibits stable performance even with small-scale input data, verifying the feasibility of its application in fields where the input data required for model construction is limited.

• The Journal of Engineering Geology
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• v.12 no.1
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• pp.23-34
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• 2002

Borehole image analysis has been carried out to obtain the detailed geological data by approach of direct observation. Direct application of borehole image analysis inevitably gives rise to a few of restriction of data acquisition due to the limited information within narrow borehole space. Considering the apparent dip of discontinuity surface depending upon the direction, the visualized program of two-dimensional subsurface discontinuities is coded. Borehole image analysis can compensate the distribution of subsurface discontinuity extending into the expected area of investigation. In order to draw subsurface profile in the proposed area of subsurface construction, visualized program is coded as a window GUI (Graphic User Interface) using Fortran and Visual Basic Programming languages. It is to open publicly for the usage of whoever is in want. Discontinuity distribution map is visualized along the Proposed line of tunnel in the Janggye-ri area, Jangsu-gun. Using the visualized program, the limited information from borehole spatially applies into analysis of overall subsurface structures, and the distributional characteristics of discontinuity anticipate at the proposed area. In addition, spacing and extension of joint and depth of discontinuity effecting tunnel safety can be visualized along the direction of the proposed tunnel. These lines of visualization apply design and construction of fundanmental structures.

• Journal of The Korean Association For Science Education
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• v.17 no.3
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• pp.289-299
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• 1997

This study has been undertaken in the light of constructivist view of teacher education. Participant observation, unstructured interview and questionnaire were used to explore the process and the role of practicum in science teacher education. The subjects were 19 student teachers majoring in physics education; 8 had participated at boys junior high school, 11 at senior high school. The student teachers had very critical and negative perception on their school days' science lessons. They had expected to do 'better' in their practicum but there were only 3 to 5 opportunities of teaching under the umbrella of textbook. Explanation in the classroom and solving exercise problem were the main features of student teachers' lessons. Much of the lessons were similar when it is to same topic and the main reference for their lesson preparation was the textbook. The student teachers felt the design of teaching approach as the most difficult thing during their lesson preparation. They realized that teaching is harder than they thought and they should consider students' level and responses. Though they had become to have more positive perception on teaching job through their field experiences, their decision on job preference did not change. More than half did not want to be a teacher. The student teachers recognised the courses related with science education as the most useful to their teaching in practice among the program of college of education which they had taken. The experience of writing one lesson plan or teaching in front of their peers, designing a new demonstration equipment were recognised as valuable and helpful element of the courses. They proposed to reduce the amount of general education courses and to emphasize the courses relevant with science education and practicum. The limited opportunity of teaching in practicum was pointed out as problematic. Though the practicum was recognized as a 'good' experience to student teachers, it was confined by textbook and limited teaching opportunity. In conclusion, the practicum was not organized and implemented as a meaningful experience of science teaching and learning. There should be more structured studies on what kind of perceptions and experiences the student teachers had brought to the science teacher education program, how they interact with the elements of the program and how they affect to their science teaching. The structure and content of practicum also should be studied and developed so as to make practicum as a meaningful experience of science teaching and learning.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.171-179
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• 2008

RBAC(Role based Access Control) is effective way of managing user's access to information object in enterprise level and e-government system. The concept of RBAC is that the access right to object in a system is not directly assigned o users but assigned by being a member of a role which is defined in a organization. RBAC is utilized for controling access range of privacy but it does not support the personal legal right of control over information and right of limited access to the self. Nor it contains the way of observation of privacy flow that is guided in a legal level. In this paper, extended RBAC model for protecting privacy will be suggested and discussed. Two components of Data Right and Assigning Data Right are added to existed RBAC and the definition of each component is redefined in aspect of privacy preservation. Data Right in extended RBAC represents the access right to privacy data. This component provides the way of control over who can access which privacy and ensures limitation of access quantity of privacy. Based on this extended RBAC, implemented examples are presented and the evaluation is discussed by comparing existed RBAC with extended RBAC.

• Journal of Korean Society on Water Environment
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• v.31 no.2
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• pp.181-195
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• 2015

Algal blooms in lakes are one of major environmental issues in Korea. A three-dimensional, hydrodynamic and water quality model was developed and tested in Lake Euiam to assess the performance and limitations of numerical modeling with multiple algal groups using field data commonly collected for algal management. In this study, EFDC was adopted as the basic model framework. Simulated vertical profiles of water temperature, dissolved oxygen and nutrients monitored at five water quality monitoring stations from March to October 2013, which are closely related to algal dynamics simulation, showed good agreement with those of observed data. The overall spatio-temporal variations of three algal groups were reasonably simulated against the chlorophyll-a levels of those estimated from the limited monitoring data (chlorophyll-a level and cell numbers of algal species) with the RMSEs ranging from 2.6 to $17.5mg/m^3$. Also, note that $PO_4-P$ level in the water column was a key limiting factor controlling the growth of three algal groups during most of simulation period. However, the algal modeling results were not fully attainable to the levels of observation during short periods of time showing abrupt increase in algae throughout the lake. In particular, the green algae/cyanobacteria and diatom simulations were underestimated in late June to early July and early October, respectively. The results shows that better understanding of internal algal processes, neglected in most algal modeling studies, is necessary to predict the sudden algal blooms more accurately because the concentrations of external $PO_4-P$ and specific algal groups originated from the tributaries (mainly, dam water releases) during the periods were too low to fully capture the sharp rise of internal algal levels. In this respect, this study suggests that future modeling efforts should be focused on the quantification of internal cycling processes including vertical movement of algal species with respect to changes in environmental conditions to enhance the modeling performance on complex algal dynamics.

• Research in Community and Public Health Nursing
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• v.6 no.2
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• pp.259-274
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• 1995

The study is to grasp the problems related to operation of Maternity clinic of public health centers in seoul and needs for public health of community in relation to consumers and providers in order to improve efficiency of community public health for mothers and children. Four pregnancy woman, who receive medical care at the maternity clinic of M public health centers in seoul and understand the purpose of this study, and one nurse who works at the were the objects of this field study. Participating observation and intensive interviews were conducted to collect data. All of them were performed as necessary from time to time since December, 1994, and not during a specific period. Through an data analysis in the order of sector analysis and classification analysis, the data were classified into specific patterns and the results are the following; 1. All of the subjects were using both private hospitals and public clinics, but managing activities prior to delivery were not carried out in accordence with theories for those activities. 2. The subjects showed two types of response to utilizing maternity clinic. they answered that the advantages of the clinic were 'short waiting time for medical treatment', 'medical treatment by female doctors' and 'economical benefit.' Meanwhile, they gave negative response to the problems of 'non-implementation of delivery' 'uncleanness and insufficient facilities', 'limited time of treatment', 'lack of expertise' and 'want of public health education for materity.' 3. Problems related to operation of maternity clinic were 'lack of experts', 'irrational facility structure' and 'absolutely lack budget'. In terms of the status of managing the subjects, 'programs only aimed at attaining the central-government-assigned objects' and 'limited management before and after delivery by non-implementing delivery' were pointed out to be problems. Regarding public health education before delivery and PR relations, 'superficial public health education for maternity' and 'absence of PR programs' were named. In planning and evaluation, 'absence of autonomous planning and evaluation by the clinic itself' was a major problem in operating the clinic. 4. 'Substantial health education and PR', 'supplementation of facilities and eqipment', 'development' and supply of demanded service by the subjects', 'implementation of autonomous programs', and 'reinforcement of supplementary education' were presented as alternatives for efficient opration of maternity clinics.

• Journal of Navigation and Port Research
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• v.32 no.6
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• pp.499-503
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• 2008

As the conference result of MEPC in IMO, development of ballast water management system corresponding to newly established ballast water management standard (D2 regulation) of shipping is being made an active progress over the whole world. The ballast water management system should treat particular material of more than $10{\mu}m$ in high capacity of more than 500t per hour in the event of filtration process. Also, it is very difficult to develop a practical management system since a limited element which a narrow space of the ship should be designed in the minimal volume is assumed. Therefore, the study promoted a study on the next generation auto back wash media filter to overcome such a limited element. Also, the study performed pressure and flux measurement test followed by thickness of each filter medium for filtration by each size to grasp a relation between absorption and pressure at the time of vacuum filtration and mechanical analysis and turbidity change observation of filtered water after vacuum filtration.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.81-93
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• 2022

The purpose of this study is to understand the meaning of clinical practice experience, including web-based simulation practice, in the context of the corona pandemic era. As for the research method, data were collected through a focus group interview on the experience of web-based simulation practice and subsequent clinical practice and analyzed by content analysis method. The contents of the two interview groups were analyzed, and the results were divided into 2 components, 7 topic groups, and 18 topics. The first component, the clinical practice, was divided into four topic groups: 'The anxious start of practice in a pandemic situation', 'Direct experience through various cases', 'Training opportunities to prepare as a future nurse', and 'The burden of performance and limited experience'. The second component, the web-based simulation practice, was divided into three topic groups: 'Unfinished nursing practice', 'Indirect experience of clinical nursing in virtual space', and 'Requirement of an integrated practice model'. Clinical practice is a very important part of the nursing education curriculum. However, the nursing that students can perform in the field is very limited. Therefore, to supplement the shortcomings of observation-oriented clinical practice and to increase the quality of practical education, it is necessary to consider a hybrid education model including web-based simulation practice.