• Journal of the Korean association of regional geographers
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• v.14 no.3
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• pp.269-278
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• 2008

This research analyzed the effect of lessons with the GIS application as an alternative scheme of teaching and learning of geography in elementary school. Two classes in the third grade at Y elementary school in Andong were selected to conduct lessons on 'The Landscape of My Hometown' from March 6 through June 30, 2006. In the experimental class, the lessons were conducted with the GIS application; while, in a comparative class, the lessons were carried with usual teaching and learning method. To find out the effect of lessons with the GIS application, differences of spatial cognition of students were figured out between groups, and before and after lessons. The difference between the spatial concept development stages and materials on the textbook discouraged students to pursue their learning as well as made them hard to achieve the goals of lessons. The GIS application had been suggested as an alternative teaching and learning method to overcome the difference; however, it has been hard to find any empirical research to verify the effect of the lessons with GIS application in elementary school. The ability of spatial cognition of the third graders at an elementary school was very low as the result of that curricula in the first and second grades dealt with sketch maps as teaching and learning media. The map learning of third grader on the transitional stage would play the critical role to develop the spatial cognition ability in the future. The field study contributing to developing spatial cognition ability would not be conducted at school. It was required to have the alternative learning schemes such as lessons with GIS application. The lessons with GIS application verified effect of GIS application as the alternative method. The GIS application helped students to recognize landmarks, directions and distance effectively as well as reduced the spatial cognition difference among individuals and/or groups.

• The Journal of the Petrological Society of Korea
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• v.28 no.4
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• pp.319-345
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• 2019

Recently planification and effort for management, assessment and discovery of geological heritagesare being increasingly demanded with institutional strategies such as geopark, as their preservation is asked socially. In this study, we discovered geological heritages in the Jeolla Province and then performed assessment of the value and grading of them and finally suggested a promising and suitable site for the National Geopark. A total of 325 geological heritages are listed on literature review and then detailed description in field and assessment of the value for selected 158 geoheritages are completed. The assessment items are categorized into intrinsic value, subsidiary value, and preservation/management part. The intrinsic value is subdivided into scientific/educational value, composed of representativeness, rarity, geodiversity, typicality, reproducibility, and particularity, and geomorphological/landscape value composed of scale, naturality (integrity), scenery (aesthetic value). Also, subsidiary value consist of 7 subsections of soil function, ecological function, tourism value, geological resource, historical value, folk tale or legend and symbolic value, and accessibility, convenient facility (infrastructure), management condition (legal protection) is evaluated in preservation/management part. The heritages in the Jeolla Province subdivided into three types: 73 geological heritages, 42 geomorphological heritages, and 42 composite heritages. Based on points acquired in intrinsic value, all geological heritages are graded Class-I to -V. As a result, numbers of geoheritage belong to Class-I (protection at world level), -II (protection at national level), -III (nationdesignated management), -IV (involved management list), -V (candidate management list) are 12, 39, 52, 34, 21, respectively. Finally, we construct database based on Arc-GIS with all informations for each geological heritage and suggest three promising and suitable sites, 'Jirisan-Seomjingang Area' and 'south coast area of Jeolla Province', for the National Geopark.

• The Korean Journal of Elementary Counseling
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• v.5 no.1
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• pp.159-184
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• 2006

Lately, the rapid social and family system change, the entrance examination-centered circumstance in education have a negative influence not only on making up the affirmative self-esteem but also on building up the personal relationship through mutual communication with friends of the same age. Making children adapt well to school life and develop a good relationship in the class is an important subject in educational field. Thus, various school activities should offer lots of opportunities to increase their affirmative self-esteem and more specified performance-centered programs are required toform a harmonious relationship among parties of students. The purpose of this study is to improve an affirmative self-esteern and a desirable personal relationship of children through developing friend-praise program and adapting it to children. Based on the above purpose, the following subjects for this study 'are suggested. Firstly, is the friend-praise program effective in forming an affirmative self-esteem of elementary students? Secondly, is the friend-praise program successful in improving a desirable personal relationship in an elementary school? In addition, two hypotheses of study are decided on the basis of theoretical background and the former study. Hypothesis 1. The friend-praise program will have a meaningful effect on improving an affirmative self-esteem. Hypothesis 2. The friend-praise program will have a meaningful effect on improving a desirable personal relationship. In order to improve the above hypotheses, the experiment was carried out with two classes on the fourth grade in M elementary school in Wonju with being divided into one experimental group and the other comparative group. The friend-praise program which was adapted to the experimental group was composed with four steps as 'introduction', 'preparation', 'operation' and 'closing'. This program which has twelve categories was executed once or twice in a week and each class was continued for forty or sixty minutes. Contrastively, comparative group had no application of the main program. For the purpose of proving the hypotheses after adapting the program to students, I have executed both self-esteem test and personal relationship test. The tests were performed with using SPSS/Windows V10.0 and the statistic was conducted through independant sample t-test for the difference between groups and contrastive sample t-test for the individual difference in each group. The results of this study can be summarized like the followings: Firstly, from the result of previous and after tests, there was no meaningful change in the comparative group, but the experimental group showed meaningful difference in all categories of self-esteem(t=-4.496, p=.000). Especially, the general self-esteem(t=-3.216, p=.003), social self-esteem(t=-2.680, p=.012), homely self-esteem(t=-3.732, p=.001), and school self-esteem(t=-3.902, p=.000) showed a meaningful difference. At the same time, the experimental group also showed meaningful difference with the comparative group in self-esteem(t=-4.758, p=.000). Especially, the general self-esteem(t=2.581, p=.017), social self-esteem(t=3.160, p=.003), homely self-esteem(t=4.283, p=.000), and school self-esteem(t=4.110, p=.000) showed a meaningful difference. As a result of this experiment, the friend-praise program will have a meaningful effect on improving an affirmative self-esteem was proved. Secondly, there was no meaningful change in the comparative group, but the experimental group showed meaningful difference in all categories of personal relationship(t=-4.131, p=.000). Specifically, satisfaction(t=-2.113, p=.045), communication(t=-3.381, p=.002), confidence(t=-3.517, p=.001), intimacy(t=-3.958, p=.000), sensibility(t=-2.955, p=.006), openness(t=-4.318, p=.000) and interest(t=-2.941, p=.000) showed a meaningful difference. In the same instant, the experimental group also showed meaningful difference with the comparative group in all categories of personal relationship(t=3.897, p=.000). Especially, satisfaction(t=2.257, p=.003), communication(t=3.527, p=.001), confidence(t=3.704, p=.001), intimacy(t=3.904, p=.000), sensibility (t=4.382, p=.000), openness(t=2.648, p=.013) and interest(t=2.944, p=.006) showed a meaningful difference. Accordingly, the friend-praise program will have a meaningful effect on improving a desirable personal relationship was proved. Judging from all these results, we should provide primary students with various opportunities to take part in active programs which help them to set up their righteous sense of value, to solve their own problems and to develop their potentials. Consequently, many kinds of practice-centered program like the friend-praise program should be developed more systematically and teachers should apply all those programs to students according to their individual level and developmental stage.

• Journal of Engineering Education Research
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• v.10 no.3
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• pp.64-78
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• 2007

For Korean researchers, English is essential. In fact, this is the case for any researcher who is a non-native English speaker, as recognition and success is predicated on being published, while publications that reach the broadest audiences are in English. Unfortunately, university science and engineering programs in Korea often do not provide formal coursework to help students attain greater competence in English composition. Aggravating this situation is the general lack of literature covering this specific pedagogical issue. While there is plenty of information to help native speakers with technical writing and much covering general English composition for EFL learners, there is very little information available to help EFL learners become better technical writers. Thus, the purpose of this report is twofold. First, as most Korean educators in science and engineering are not well acquainted with pedagogical issues of EFL writing, this report provides a general introduction to some relevant issues. It reviews the importance of contrastive rhetoric as well as some considerations for choosing the appropriate teaching approach, class arrangement, and use of computer assisted learning tools. Secondly, a course proposal is discussed. Based on a review of student writing samples as well as student responses to a self-assessment questionnaire, the proposed course is intended to balance the needs of Korean EFL learners to develop grammar, process, and genre skills involved in technical writing. Although, the scope of this report is very modest, by sharing the considerations made towards the development of an EFL technical writing course it seeks to provide a small example to a field that is perhaps lacking examples.

• Journal of Korean Home Economics Education Association
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• v.19 no.2
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• pp.1-12
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• 2007

This study analyzed the recognition and utilization regarding teacher's guidebook for middle school technology-home economics class in the 7th Educational Curriculum. The data were collected via e-mail to teachers teaching home economics in middle schools. These e-mail addresses were acquired from middle school web pages registered on the Educational Board. The 355 data were analyzed using the SPSS program. The results were as follows: First, teachers recognized highly the necessity of teacher's guidebook. However, as the actual guidebook was not adequately helpful, the overall degree of satisfaction was relatively low. Teachers utilizing guidebook had more positive recognition on teacher's guidebook than teachers who did not. And teachers majored in technology education thought teacher's guidebook more helpful compared with teachers majored in home economics education. Second, teachers referenced teacher's guidebook mostly for field practice guidance. Third, teachers who did not utilize teacher's guidebook used other reference materials such as Internet Web sites and audiovisual materials. They were most commonly used for the reason that the contents were ample and easy to access. Fourth, the followings were suggested to improve teacher's guidebook. The provision of learning contents that can be practically used in class, the various samples of teaching-learning method, the specified methods of planning and criteria for performance assessment, the adequate supplementations regarding textbook contents, and the improvement of the outward layout format of the guidebook.

• Journal of Korean Home Economics Education Association
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• v.30 no.3
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• pp.43-66
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• 2018

The purpose of this study was to conduct the instruction for 'Family Life Planning' based on backward design and measured the learners' understanding and satisfaction for testing validity. In short, the result of this study are as follows: In this study, first of all, the students could explain significant concepts, knowledge, and principles for the planning of family life; they could interpret and apply them; they have perspectives on them; they could empathize them; and they could have self-knowledge. The students could also accomplish high achievements for important concepts related to the field of family life planning. In conclusion, this study showed that the developed instruction was very effective for the students to achieve fruitful results, accelerating the learners' persistent understanding. Second, the learners had high satisfaction on the instruction of Family Life Planning based on backward design with the average score of 3.68 out of the perfect score 4. The students could be satisfied with the developed instruction since they could have high interest in the class thanks to diverse learning materials, and they could take an active part in the learning tasks based on group activities and questions. Also they could apply the contents that they learned through task performances to new situation and context. Therefore, this study proved that the developed instruction enhanced the learners' satisfaction on class.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.617-628
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• 2022

A ground support pattern should be designed by properly integrating various support materials in accordance with the rock mass grade when constructing a tunnel, and a technical decision must be made in this process by professionals with vast construction experiences. However, designing supports at the early stage of tunnel design, such as feasibility study or basic design, may be very challenging due to the short timeline, insufficient budget, and deficiency of field data. Meanwhile, the design of the support pattern can be performed more quickly and reliably by utilizing the machine learning technique and the accumulated design data with the rapid increase in tunnel construction in South Korea. Therefore, in this study, the design data and ground exploration data of 48 road tunnels in South Korea were inspected, and data about 19 items, including eight input items (rock type, resistivity, depth, tunnel length, safety index by tunnel length, safety index by rick index, tunnel type, tunnel area) and 11 output items (rock mass grade, two items for shotcrete, three items for rock bolt, three items for steel support, two items for concrete lining), were collected to automatically determine the rock mass class and the support pattern. Three machine learning models (S1, A1, A2) were developed using two machine learning algorithms (SVR, ANN) and organized data. As a result, the A2 model, which applied different loss functions according to the output data format, showed the best performance. This study confirms the potential of support pattern design using machine learning, and it is expected that it will be able to improve the design model by continuously using the model in the actual design, compensating for its shortcomings, and improving its usability.

• The Korean Journal of Archival Studies
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• no.24
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• pp.3-40
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• 2010

In recent time, archival science has been in charge of positively preserving and handling with valuable things, as well as managing established ones, However, even though several archival methodologies that manage contexts among tasks, organizations and subjects exist nowadays, there is a lack of theoretical methodology on archiving focusing on valuable things. In this sense, this article dealt with a theoretical methodology which carries out archiving valuable things and represents it based on the value of records. Also, this paper, which covers a methodology that carries out archiving and representing one focusing on the value of the one to preserve, is divided into three chapters: putting in, managing, and viewing. To begin with, in the chapter of purring in, the methodology of documentation based on a strategy to distinguish and represent the value of the valuable things were explained. In addition, the article tried to explain the definition of how the valuable things based on the value of it can be put in, and presented how to divide the one for representation into the objet and the activity so as to provide an effective approach. At the same time, as this paper took an approach to the value of the one, it proposed a way to be able to do archiving effectively by applying a representation unit which has its own value. Secondly, in the chapter of managing, representation class and metadata for managing with a representable structure was considered. Metadata categories were illustrated in order to present the class from individual records to final representation valuable things and to make representation with ease. Furthermore, in the chapter of viewing, the process of representation using theoretically archived records was explained. In fact, viewing is the descriptive domain in general, yet this paper focused on the conceptional part. As a consequence, in this paper, a series of process was considered, which starts from how the subject of representation was archived to managing it. Moreover, the process has a meaning by itself in that it gives a practical method to be applied. Finally, the paper suggested that the argumentation on representation be expanded in the field of archival science so as to present theoretical grounds in this sort of work.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.43-62
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• 2019

At one time, the anomaly detection sector dominated the method of determining whether there was an abnormality based on the statistics derived from specific data. This methodology was possible because the dimension of the data was simple in the past, so the classical statistical method could work effectively. However, as the characteristics of data have changed complexly in the era of big data, it has become more difficult to accurately analyze and predict the data that occurs throughout the industry in the conventional way. Therefore, SVM and Decision Tree based supervised learning algorithms were used. However, there is peculiarity that supervised learning based model can only accurately predict the test data, when the number of classes is equal to the number of normal classes and most of the data generated in the industry has unbalanced data class. Therefore, the predicted results are not always valid when supervised learning model is applied. In order to overcome these drawbacks, many studies now use the unsupervised learning-based model that is not influenced by class distribution, such as autoencoder or generative adversarial networks. In this paper, we propose a method to detect anomalies using generative adversarial networks. AnoGAN, introduced in the study of Thomas et al (2017), is a classification model that performs abnormal detection of medical images. It was composed of a Convolution Neural Net and was used in the field of detection. On the other hand, sequencing data abnormality detection using generative adversarial network is a lack of research papers compared to image data. Of course, in Li et al (2018), a study by Li et al (LSTM), a type of recurrent neural network, has proposed a model to classify the abnormities of numerical sequence data, but it has not been used for categorical sequence data, as well as feature matching method applied by salans et al.(2016). So it suggests that there are a number of studies to be tried on in the ideal classification of sequence data through a generative adversarial Network. In order to learn the sequence data, the structure of the generative adversarial networks is composed of LSTM, and the 2 stacked-LSTM of the generator is composed of 32-dim hidden unit layers and 64-dim hidden unit layers. The LSTM of the discriminator consists of 64-dim hidden unit layer were used. In the process of deriving abnormal scores from existing paper of Anomaly Detection for Sequence data, entropy values of probability of actual data are used in the process of deriving abnormal scores. but in this paper, as mentioned earlier, abnormal scores have been derived by using feature matching techniques. In addition, the process of optimizing latent variables was designed with LSTM to improve model performance. The modified form of generative adversarial model was more accurate in all experiments than the autoencoder in terms of precision and was approximately 7% higher in accuracy. In terms of Robustness, Generative adversarial networks also performed better than autoencoder. Because generative adversarial networks can learn data distribution from real categorical sequence data, Unaffected by a single normal data. But autoencoder is not. Result of Robustness test showed that he accuracy of the autocoder was 92%, the accuracy of the hostile neural network was 96%, and in terms of sensitivity, the autocoder was 40% and the hostile neural network was 51%. In this paper, experiments have also been conducted to show how much performance changes due to differences in the optimization structure of potential variables. As a result, the level of 1% was improved in terms of sensitivity. These results suggest that it presented a new perspective on optimizing latent variable that were relatively insignificant.

• Economic and Environmental Geology
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• v.55 no.5
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• pp.551-561
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• 2022

Geophysical exploration methods are very useful for generating high-resolution images of underground structures, and such methods can be applied to investigation of buried cultural properties and for determining their exact locations. In this study, image feature extraction and image segmentation methods were applied to automatically distinguish the structures of buried relics from the high-resolution ground-penetrating radar (GPR) images obtained at the center of Silla Kingdom, Gyeongju, South Korea. The major purpose for image feature extraction analyses is identifying the circular features from building remains and the linear features from ancient roads and fences. Feature extraction is implemented by applying the Canny edge detection and Hough transform algorithms. We applied the Hough transforms to the edge image resulted from the Canny algorithm in order to determine the locations the target features. However, the Hough transform requires different parameter settings for each survey sector. As for image segmentation, we applied the connected element labeling algorithm and object-based image analysis using Orfeo Toolbox (OTB) in QGIS. The connected components labeled image shows the signals associated with the target buried relics are effectively connected and labeled. However, we often find multiple labels are assigned to a single structure on the given GPR data. Object-based image analysis was conducted by using a Large-Scale Mean-Shift (LSMS) image segmentation. In this analysis, a vector layer containing pixel values for each segmented polygon was estimated first and then used to build a train-validation dataset by assigning the polygons to one class associated with the buried relics and another class for the background field. With the Random Forest Classifier, we find that the polygons on the LSMS image segmentation layer can be successfully classified into the polygons of the buried relics and those of the background. Thus, we propose that these automatic classification methods applied to the GPR images of buried cultural heritage in this study can be useful to obtain consistent analyses results for planning excavation processes.