• School Mathematics
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• v.2 no.1
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• pp.97-110
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• 2000

The aim of this study is to examine the contributions of the computer in the method of mathematics education. And we investigate how computer introduced in the side of methodology affects the content of mathematics education. Moreover we analyze the transformations of the nature and essence of the mathematical knowledge intented to be taught. Finally, on the basis on this analysis, we propose the important points that should be considered in the computer-usage in the mathematics education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.125-126
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• 2015

This study analysed the needs of the elderly in computer education, their preference and demands for computer education to enhance the quality of information welfare for the elderly, and presented a computer education model for higher quality information welfare for the elderly to maximize the effect of computer education. For this study, variables were selected from previous studies and by the researcher to present a computer education model for the elderly.

• Journal of Korea Multimedia Society
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• v.15 no.1
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• pp.40-50
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• 2012

Face recognition is a biometric technology used to identify individuals based on facial feature information. Previous studies of face recognition used features including the eye, mouth and nose; however, there have been few studies on the effects of using other facial components, such as the eyebrows and chin, on recognition performance. We measured the recognition accuracy affected by these facial components, and compared the differences between computer-based and human-based facial recognition methods. This research is novel in the following four ways compared to previous works. First, we measured the effect of components such as the eyebrows and chin. And the accuracy of computer-based face recognition was compared to human-based face recognition according to facial components. Second, for computer-based recognition, facial components were automatically detected using the Adaboost algorithm and active appearance model (AAM), and user authentication was achieved with the face recognition algorithm based on principal component analysis (PCA). Third, we experimentally proved that the number of facial features (when including eyebrows, eye, nose, mouth, and chin) had a greater impact on the accuracy of human-based face recognition, but consistent inclusion of some feature such as chin area had more influence on the accuracy of computer-based face recognition because a computer uses the pixel values of facial images in classifying faces. Fourth, we experimentally proved that the eyebrow feature enhanced the accuracy of computer-based face recognition. However, the problem of occlusion by hair should be solved in order to use the eyebrow feature for face recognition.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.43-52
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• 2013

In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

• Journal of Korea Multimedia Society
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• v.22 no.10
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• pp.1168-1177
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• 2019

In order to diagnose and prevent Alzheimer's Disease (AD), it is becoming increasingly important to develop a CAD(Computer-aided Diagnosis) system for AD diagnosis, which provides effective treatment for patients by analyzing 3D MRI images. It is essential to apply powerful deep learning algorithms in order to automatically classify stages of Alzheimer's Disease and to develop a Alzheimer's Disease support diagnosis system that has the function of detecting hippocampus and CSF(Cerebrospinal fluid) which are important biomarkers in diagnosis of Alzheimer's Disease. In this paper, for AD diagnosis, we classify a given MRI data into three categories of AD, mild cognitive impairment, and normal control according by applying 3D brain MRI image to the Faster R-CNN model and detect hippocampus and CSF in MRI image. To do this, we use the 2D MRI slice images extracted from the 3D MRI data of the Faster R-CNN, and perform the widely used majority voting algorithm on the resulting bounding box labels for classification. To verify the proposed method, we used the public ADNI data set, which is the standard brain MRI database. Experimental results show that the proposed method achieves impressive classification performance compared with other state-of-the-art methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.563-566
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• 2008

In RFID system. when a variety of tags are present in the interrogation zone of a single reader at the same time, the system requires a multiple tag identification scheme that allows the reader to read data from the individual tags. Anti-collision algorithms required for the multiple tag identification are essential for the implementation of RFID system. This paper analyzed the performance of SFSA algorithm, which is easy to implement. According to the analytical results, the algorithm's performances are closely related with the number of tags and the frame size.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2197-2211
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• 2014

The purpose of this study was to investigate the effects of online ballet community-based teacher-parent computer-mediated communication (CMC) on four achievement goals of ballet students. We used a randomized post-test only control group design. In order to test whether teacher-parent CMC has a positive impact on the improvement of achievement goals, multivariate analysis of covariance were performed with the ages of ballet students as the covariates. Teacher-parent CMC had significant effects on achievement goals. The mastery-approach goals of the experimental group were significantly higher than of the control group. In contrast, the performance-avoidance goals of the experimental group were significantly lower than those of the control group. There were no differences between the two groups in mastery-avoidance and performance-approach goals. Above all, this study is significant because the focus was placed on the inter-relationship between the two settings of school and family in regard to ballet student improvement, rather than on one setting only.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.7-10
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• 2021

The article analyzes and concretizes the understanding of the differences between the concepts of competence / competence according to the criterion general - personal. Based on the identified characteristics of competence (completed personal quality, activity character, educational result, successful implementation of professional and educational activities), the concept of competence as an integrative dynamic quality of a person, manifested in effective activity in a specific area, is defined. The structure of the IC has been substantiated, including motivational and value; information technology; communicative and reflective components. The content of the named IC components is disclosed. The article analyzes the essence of the characteristics of basic concepts (competence / competence), consideration of information competence in the research of famous scientists in order to concretize the studied phenomenon; concretization of the identified pedagogical conditions in educational process.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.95-108
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• 2023

The technological revolution, also referred to as the Fourth Industrial Revolution, it embraced by government should transform the way governments serve their citizens. The growth of broadband in Africa is leapfrogging its technological development. And thus, many African governments will soon be able to offer quality e-Government services to their citizens. These technologically driven governments will be able to provide decision-makers with timeous information to make judgments that could influence policies. Proponents of e-Government believe that in the digital age, governments can use this information to reduce corruption and increase, accountability, transparency, efficiency, and public participation. e-Government service quality should ensure customer satisfaction. Although many studies have examined the role of e-Government and the quality of its services, few studies have examined the quality of e-Government services in terms of both supply and demand. This paper examines and reviews the academic-state-of-the-art on the factors that affect the quality of e-Government services from both perspectives. Utilizing both qualitative and quantitative methods for data gathering and analysis, a mixed methods research methodology was used.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.273-274
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• 2017

대한민국 20대 총선, 영국의 유럽연합 탈퇴인 브렉시트, 트럼프와 힐러리의 대결인 미국 대선, 이 셋의 공통점은 언론의 예측과 다른 투표 결과가 나왔다는 점이다. 이러한 일련의 사건들로 인해, 각종 언론사에서 실시하고 있는 표본조사의 신뢰도에 대한 근본적 재검토의 필요성이 제기되고 있는 실정이다. 본 논문에서는 선거 후보자 지지율을 효율적이며 효과적으로 분석하기 위하여 SNS 감정분석을 제안한다. SNS 감정분석은 기존의 표본을 구하고 분석하는 방식보다 더 빠르게 표본 수집 및 분석이 가능하다. 또한 R프로그램과 구글을 이용하여 처리하기 때문에 기존 방식에 비하여 매우 저렴하다. 현재 언론사의 예측이 빗나가고 있는 시점에서 SNS 감정분석이 훌륭한 대안이 될 수 있을 것이다. 본 연구에서의 트래픽*감정분석 점수를 보았을 때, SNS 감정분석이 여론을 더 정확히 반영한다는 것을 증명한다.