• Journal of Engineering Education Research
• /
• v.25 no.5
• /
• pp.68-74
• /
• 2022

The purpose of this study was to develop an infographic-based STEAM program for high school students and test its effectiveness. In this study, we converged high school 'art' education with 'Korean language' and 'mathematics.' The program was divided into four phases. The effectiveness of the program was analyzed by conducting matched pair t-test for 377 students at a girl's high school in Seoul before and after the program. The study found that the students' self-concept on mathematics and their attitude towards choosing science and engineering career showed significant increases after the program. By connecting high school courses through data visualization based on cognitive information design, findings from this study suggest that our infographic-based STEAM program should be implemented more frequently at high schools.

• Korean journal of food and cookery science
• /
• v.16 no.2
• /
• pp.112-120
• /
• 2000

The purpose of this study was to examine the needs of high school students on foodservice. A survey from 8 high school foodservice operations in Seoul was undertaken and detailed information was collected from 538 high school students. Completed questionnaires were received from 3 self-operated and 5 contracted school foodservice operations. Statistical analyses were performed by SPSS including descriptive analysis and t-test. The 49.8% of the respondent students were male and 50.2% female. The whole students assessed the importance and performance of school foodservice as 4.18 and 2.83 out of 5 respectively, which suggests that the school foodservice needs to be improved. The Importance-Performance Analysis(IPA) used for obtaining information on high school foodservice management suggested that foodservice attributes with fair to poor performance but with high importance were sanitation of food, service of foodservice personnel, dealing with complaints and the reflection of students'opinion in menu.

• Journal of Information Processing Systems
• /
• v.19 no.6
• /
• pp.778-790
• /
• 2023

Although density peak clustering can often easily yield excellent results, there is still room for improvement when dealing with complex, high-dimensional datasets. One of the main limitations of this algorithm is its reliance on geometric distance as the sole similarity measurement. To address this limitation, we draw inspiration from the information bottleneck theory, and propose a novel density peak clustering algorithm that incorporates this theory as a similarity measure. Specifically, our algorithm utilizes the joint probability distribution between data objects and feature information, and employs the loss of mutual information as the measurement standard. This approach not only eliminates the potential for subjective error in selecting similarity method, but also enhances performance on datasets with multiple centers and high dimensionality. To evaluate the effectiveness of our algorithm, we conducted experiments using ten carefully selected datasets and compared the results with three other algorithms. The experimental results demonstrate that our information bottleneck-based density peaks clustering (IBDPC) algorithm consistently achieves high levels of accuracy, highlighting its potential as a valuable tool for data clustering tasks.

• Journal of Korean Library and Information Science Society
• /
• v.38 no.1
• /
• pp.107-134
• /
• 2007

This study focused on the survey of academic high school students' information needs and their information seeking patterns. On the basis of its results, this study suggested school library services and programs. To do this, this study collected its data through survey and interviews. Specifically, this study discussed 1) the types of academic high school students' everyday concerns and the ways to deal with them. 2) the types and characteristics of their preferred information sources, 3) the school library services and programs for satisfying their information needs.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.536-539
• /
• 2014

본 논문에서는 생명체 간의 상호작용으로 형성된 안정된 생태계의 요인을 분석할 수 있는 계산 시뮬레이션 모델을 제안한다. 그리고, 실제 시뮬레이션 프로그램을 개발하고 이를 통해 얻은 실험 결과를 제시함으로써, 계산 시뮬레이션 분야와 생명과학 분야의 융합 가능성을 보인다. 제시한 계산 시뮬레이션 모델은 1) 하나의 커다란 생태계로 이루어진 세계, 2) 다수의 작은 생태계로 이루어진 세계, 3) 생태계가 미형성된 세계를 유전 알고리즘을 사용하여 모델링 하였으며, 실험 결과는 2)번 모델이 생태계를 가장 안정적인 상태로 오래 유지하는 결과를 보였다. 이를 통해서 충분한 에너지가 존재하거나 공급되는 환경에서는 생물 밀도가 높으면서 에너지 순환이 빠른, 작은 규모의 생태계가 가장 안정적이라는 생물학적인 결론을 도출할 수 있었다.

• Journal of the Korean Data and Information Science Society
• /
• v.16 no.4
• /
• pp.969-977
• /
• 2005

Recently, the decrease of the number of a high-school graduate have serious influences on the number of a limit matriculation of colleges and universities. Based on the resident registration population, we forecast for the number of a high-school graduate until 2022 year in kyungbook. Most college and universities in Kyungbook have to reduce the 67.8% of the number of limit matriculation until 2022 year to avert a disaster by prompt action.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.1
• /
• pp.366-381
• /
• 2020

Steganography has been successfully employed in various applications, e.g., copyright control of materials, smart identity cards, video error correction during transmission, etc. Deep learning-based steganography models can hide information adaptively through network learning, and they draw much more attention. However, the capacity, security, and robustness of the existing deep learning-based steganography models are still not fully satisfactory. In this paper, three models for different cases, i.e., a basic model, a secure model, a secure and robust model, have been proposed for different cases. In the basic model, the functions of high-capacity secret information hiding and extraction have been realized through an encoding network and a decoding network respectively. The high-capacity steganography is implemented by hiding a secret image into a carrier image having the same resolution with the help of concat operations, InceptionBlock and convolutional layers. Moreover, the secret image is hidden into the channel B of carrier image only to resolve the problem of color distortion. In the secure model, to enhance the security of the basic model, a steganalysis network has been added into the basic model to form an adversarial network. In the secure and robust model, an attack network has been inserted into the secure model to improve its robustness further. The experimental results have demonstrated that the proposed secure model and the secure and robust model have an overall better performance than some existing high-capacity deep learning-based steganography models. The secure model performs best in invisibility and security. The secure and robust model is the most robust against some attacks.

• Journal of the Korean Data and Information Science Society
• /
• v.25 no.2
• /
• pp.385-392
• /
• 2014

Random walk hypothesis is a hypothesis that explains theoretically the difficulty in forecasting in financial market. Various tests for the hypothesis have been developed so far but it is known that those tests suffer from low power and size distortion. In this article, a sign test based on slopes are suggested to overcome these difficulties. A simulation study is conducted to compare this test to the often used Dickey and Fuller (1979) test.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.19 no.1
• /
• pp.47-56
• /
• 2015

In this paper, we present an implicit method for reconstructing a 3D solid model from two 2D cross section images. The proposed method is based on the Cahn-Hilliard model for the image inpainting. Image inpainting is the process of reconstructing lost parts of images based on information from neighboring areas. We treat the empty region between the two cross sections as inpainting region and use two cross sections as neighboring information. We initialize the empty region by the linear interpolation. We perform numerical experiments demonstrating that our proposed method can generate a smooth 3D solid model from two cross section data.

• Journal of Korean Biological Nursing Science
• /
• v.14 no.4
• /
• pp.239-248
• /
• 2012

Purpose: The purpose of this study was to identify the relationships among knowledge, cancer information seeking behavior, and Willingness for education about Human Papillomavirus (HPV) vaccination among school teachers. Methods: The subjects were 135 teachers who had were working in the middle or high school in Korea. Data were collected by a self-report questionnaire, 2011. Data were analyzed by using the SPSS WIN 18.0 program. Results: There was a positive relationship between information seeking behavior and Willingness for education about HPV vaccination. There were differences in Willingness for education according to necessity of HPV vaccination for premarital women above 16-year old and marital women below 45-year old, and necessity of education for students. The Willingness for education were predicted by information seeking behavior, groups who HPV vaccination is necessary to premarital women above 16-year old, and HPV vaccination education for student is necessary. These variables explained 25.0% of the variance of the Willingness for education about HPV vaccination. Conclusion: The Willingness for education about HPV vaccination among middle or high school teachers could be improved by the emphasis of the preception that HPV vaccination is necessary to middle or high school students and is related to the prevention of cervical cancer.