• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.5
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• pp.379-387
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• 2006

The real world is spatially modelled conceptually either as discrete objects or earth surface. The generated data models are then usually represented as vector and raster respectively. Although there are limited cases where only one data model is sufficient to solve the spatial problem at hand, it is now generally accepted that GIS should be able to handle various types of data model. Recent advances in spatial technology introduced even more variety of heterogeneous data models and the need is ever growing to handle and manage efficiently these large variety of spatial data. The OGC (Open GIS Consortium), an international organization pursuing standardization in the geospatial industry. recently introduced the GMLJP2 (Geographic Mark-Up Language JP2) format which enables store and handle heterogeneous spatial data. The GMLJP2 format, which is based on the JP2 format which is an abbreviation for JPEG2000 wavelet image compression format, takes advantage of the versatility of the GML capabilities to add extra data on top of the compressed image. This study takes a close look into the GMLJP2 format to analyse and exploit its potential to handle and mange hetergeneous spatial data. Aerial image, digital map and LIDAR data were successfully transformed end archived into a single GMLJP2 file. A simple viewing program was made to view the heterogeneous spatial data from this single file.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.183-189
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• 2019

The purpose of this study is to investigate the effects of mobile phone use on university students' English reading achievement and consider the value and effectiveness of mobile phones as a learning tool. The study's subjects were students from a university in Seoul, who were divided into an experimental group (n=37) and a control group (n=43). The experimental group used various mobile phone functions-such as searching, recording, taking photos, using mobile apps, and community uploads-in reading class. The control group, on the other hand, focused on students' presentations and the professor's explanations. Two achievement tests and an open-ended questionnaire were administered. The results revealed that the experimental group scored higher than the control group, which showed a significant difference. In addition, the positive impacts of mobile phone use as reported in the questionnaire were interest and motivation, self-directed learning, and continuous learning beyond time and space. In order to foster efficient second language teaching and learning, learners and also teachers must be aware of the potential value of mobile phones as a learning tool. To encourage more active mobile phone use in the classroom, diverse and interesting class activities using mobile phones should be developed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.583-593
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• 2018

Le Corbusier is an architect known for his use of mostly white color during the Purism period. On the other hand, he actually utilized polychromy in his works while the principles behind his use of polychromy is not well defined. Through the analysis of the Pessac project, where he deliberately utilized polychromy in the exterior of housing, this study examined not only the principles behind his utilization of colors, but also the fact that this project was a laboratory to set up his architectural language and develop the method of how to employ polychromy. An analysis of this project found that he changed spaces and categorized objects using polychromy based on the white color. He also chose and used colors based on the psychophysiological experience that is related to emotions and habits. To compensate for the problems arising from the architectural space and form in the site, he used various techniques, such as camouflage, optical illusion, 'gift box' technique, and dismantlement method of volume. Therefore, polychromy is used as a method to emphasize his architectural language.

• Communications of Mathematical Education
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• v.37 no.1
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• pp.1-19
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• 2023

Mathematics Listening Ability(MLA) refers to the ability to listen to and grasp the meaning of speech language containing mathematical concepts and principles, distinguishing it from daily life and listening in other subject classes. According to literature, MLA might be divided into six types. Among them, interpretation, discovering, evaluating, and evaluation may indicate an attitude that correctly listens to the meaning of the language used in mathematics classes. On the other hand, selective, pretend, and ignore are types of listening attitudes that are not appropriate. Based on the statistical analysis of 834 3rd to 6th graders and a total of 44 homeroom teachers I developed a MLA survey items for elementary school students. In this study, principal component analysis was conducted to verify reliability in the development of survey items, and expert review and correlation analysis of survey results were conducted to verify validity. In addition, the validity was verified by statistically analyzing the survey results of students and their homeroom teachers. Based on literature and statistical analysis, I developed a MLA Survey items(for students) consisting of 25 questions and a mathematical resolution measurement tool(for teachers) consisting of 26 questions.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.148-155
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• 2024

Despite the increasing importance of irony and sarcasm detection in the field of natural language processing, research on the Korean language is relatively scarce compared to other languages. This study aims to experiment with various models for irony detection in Korean text. The study conducted irony detection experiments using KoBERT, a BERT-based model, and ChatGPT. For KoBERT, two methods of additional training on sentiment data were applied (Transfer Learning and MultiTask Learning). Additionally, for ChatGPT, the Few-Shot Learning technique was applied by increasing the number of example sentences entered as prompts. The results of the experiments showed that the Transfer Learning and MultiTask Learning models, which were trained with additional sentiment data, outperformed the baseline model without additional sentiment data. On the other hand, ChatGPT exhibited significantly lower performance compared to KoBERT, and increasing the number of example sentences did not lead to a noticeable improvement in performance. In conclusion, this study suggests that a model based on KoBERT is more suitable for irony detection than ChatGPT, and it highlights the potential contribution of additional training on sentiment data to improve irony detection performance.

• School Mathematics
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• v.14 no.4
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• pp.469-493
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• 2012

The purpose of this study is find the relation between students' concept and types of proof construction. For this, four undergraduate students majored in mathematics education were evaluated to examine how they understand mathematical concepts and apply their concepts to their proving. Investigating students' proof with their concepts would be important to find implications for how students have to understand formal concepts to success in proving. The participants' proof productions were classified into syntactic proof productions and semantic proof productions. By comparing syntactic provers and semantic provers, we could reveal that the approaches to find idea for proof were different for two groups. The syntactic provers utilized procedural knowledges which had been accumulated from their proving experiences. On the other hand, the semantic provers made use of their concept images to understand why the given statements were true and to get a key idea for proof during this process. The distinctions of approaches to proving between two groups were related to students' concepts. Both two types of provers had accurate formal concepts. But the syntactic provers also knew how they applied formal concepts in proving. On the other hand, the semantic provers had concept images which contained the details and meaning of formal concept well. So they were able to use their concept images to get an idea of proving and to express their idea in formal mathematical language. This study leads us to two suggestions for helping students prove. First, undergraduate students should develop their concept images which contain meanings and details of formal concepts in order to produce a meaningful proof. Second, formal concepts with procedural knowledge could be essential to develop informal reasoning into mathematical proof.

• Korean Journal of Cognitive Science
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• v.21 no.2
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• pp.309-338
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• 2010

In this paper, we studied the brain-computer interface (BCI). BCIs help severely disabled people to control external devices by analyzing their brain signals evoked from motor imageries. The findings in the field of neurophysiology revealed that the power of $\beta$(14-26 Hz) and $\mu$(8-12 Hz) rhythms decreases or increases in synchrony of the underlying neuronal populations in the sensorymotor cortex when people imagine the movement of their body parts. These are called Event-Related Desynchronization / Synchronization (ERD/ERS), respectively. We implemented a BCI-based mouse interface system which enabled subjects to control a computer mouse cursor into four different directions (e.g., up, down, left, and right) by analyzing brain signal patterns online. Tongue, foot, left-hand, and right-hand motor imageries were utilized to stimulate a human brain. We used a non-invasive EEG which records brain's spontaneous electrical activity over a short period of time by placing electrodes on the scalp. Because of the nature of the EEG signals, i.e., low amplitude and vulnerability to artifacts and noise, it is hard to analyze and classify brain signals measured by EEG directly. In order to overcome these obstacles, we applied statistical machine-learning techniques. We could achieve high performance in the classification of four motor imageries by employing Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) which transformed input EEG signals into a new coordinate system making the variances among different motor imagery signals maximized for easy classification. From the inspection of the topographies of the results, we could also confirm ERD/ERS appeared at different brain areas for different motor imageries showing the correspondence with the anatomical and neurophysiological knowledge.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.127-136
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• 2013

This report is aimed to be used as the basic research resource about the various form expression about the picture books, based upon the analysis whether male and female children are different from their preferences to illustrations and whether the expression form between male and female children are different from the other. The objects of study are one hundred and sixteen's of 6 to 7 years old children (male 58 vs. female 58) who are able to understand the illustration. The two times of response surveys were done with one hand is to interview an individual child and the other hand is to fill out by children. The methods used in this study are composed of the representable, simple, exaggerated, and distorted form of expression in order to draw the detail and precise reactions of male and female children In the case of preference analysis of male and female about the illustration, both male and female prefer the distorted form which express contradictively rather than the real, representable, simple, and exaggerate form of expression or which expresses the distorted and the changed by the binding of different things. In the respect of the responses, the various responses were seen to the simple and the exaggerated form in comparative with the representable form. In the respect of the analysis of language response, the individual response was highly marked to the representable form, and the informational response, the heuristic response, and the imaginative response.

• Herbal Formula Science
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• v.15 no.1
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• pp.129-135
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• 2007

Characters are the tool of writing language. In particular, Chinese characters were the tool of communicating, storing and intermediating information in Chinese traditional medicine, and exercised great influence on diseases, diagnoses, treatments and others. Stupid Words are used to avoid calling the name of an emperor or an elder. The Stupid Words, written in old literature, were mostly used to avoid calling the name of emperors in those days. At first, those were used to express respect, but with time, the rule began to be strict. Those who violate the rule were dismissed or expelled; what is worse, even their families were exterminated. Medical books were no exception to the rule. The history of Stupid Words is originated from primitive society. Those were begun to be used customarily, and were institutionalized over time. Although dynasties had been changed in large numbers in history, Stupid Words were not disappeared and had been used until feudalism rings down the curtain. In addition, the characteristics of Stupid Words became different as to each age, and exercised great influence on old literature. The Stupid Words in Chinese traditional medicine are shown in herbal names, authors' names, terminologies, symptomatological names and others. Through Stupid Words, the date of publication can be presumed, and pleonasms can be discriminated from lacunae, and it can be judged whether those works are true or not. On the other hand, those cause inconvenience philologically. The Stupid Words in old medical books became different semantically throughout the years, and so the original became difficult to be translated as well as its meaning cannot be communicated correctly. Eventually, time and effort are expended unnecessarily in some cases.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2005.11a
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• pp.233-237
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• 2005

수화의 인식 및 표현 기술에 대한 관련 연구는 수화 인식을 통한 건청인과의 의사 전달, 가상현실에서의 손동작 인식 등을 대상으로 여러 방면으로의 접근 및 연구 결과를 도출하고 있다. 그러나 이들 연구의 대부분 데스크탑 PC기반의 수신호(Hand signal) 제어 및 수화 - 손 동작 인식에 목적을 두었고 수화 신호의 획득을 위하여 영상장비를 이용하였으며 이를 바탕으로 단어 위주의 수화 인식 및 표현에 중점을 둔 수화 인식 시스템의 구현을 통해 비장애인과의 자유로운 의사소통을 추구하고 있다. 따라서 본 논문에서는 햅틱 장치로부터 사용자의 의미있는 수화 제스처를 획득하기 위한 접근 방식을 차세대 착용형 PC 플랫폼 기반의 유비쿼터스 환경으로 확대, 적용시켜 제스처 데이터 입력 모듈로부터 새로운 정보의 획득에 있어 한계성을 극복하고 사용자의 편의를 도모할 수 있는 효율적인 데이터 획득 방안을 제시한다. 또한 퍼지 알고리즘 및 RDBMS 모듈을 이용하여 언제, 어디에서나 사용자의 의미 있는 문장형 수화 제스처를 실시간으로 인식하고 표현하는 수화 제스처 인식기를 구현하였다. 본 논문에서는 수화 제스처 입력 모듈(5th Data Glove System과 $Fastrak{\circledR}$)과 차세대 착용형 PC 플랫폼(embedded I.MX21 board)간의 이격거리를 반경 10M의 타원 형태로 구성하고 규정된 위치로 수화 제스처 데이터 입력모듈을 이동시키면서 5인의 피실험자에 대하여 연속적으로 20회의 반복 실험을 수행하였으며 사용자의 동적 제스처 인식 실험결과 92.2% 평균 인식률을 도출하였다.