• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.263-270
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• 2019

This study was done to identify the relationship between safisfaction with major, critical thinking disposition and nurse image of nursing students. Subjects were 280 associates nursing students (2nd, 3rd, 4th grade) in M university. SPSS 21.0 was used to analyze the data for the descriptive statistics, t-test, ANOVA, Scheffe's test, and Pearson correlation coefficients. The score for satisfaction of major was 3.81, critical thinking disposition scoring 3.52, nurse image scoring 3.85. Satisfaction of major was significantly positive correlation between critical thinking disposition and nurse image of nursing students. Therefore, increase to satisfaction of major in nursing student, it is necessary to study how to improve the nurse image by improving the critical thinking disposition of nursing students.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.27-34
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• 2019

In this paper, we propose a method to remove the background area by analyzing the pattern of the character area. In the character detection result of the MSER(Maximally Stable External Regions) method which distinguishes a region having a constant contrast background regions were detected. To solve this problem, we use the MSER method in natural images, the background is removed by calculating the change rate by searching the character area and the background area which are not different from the areas where the contrast values are different from each other. However, in the background removed image, using the LBP(Local Binary Patterns) method, the area with uniform values in the image was determined to be a character area and character detection was performed. Experiments were carried out with simple images with backgrounds, images with frontal characters, and images with slanted images. The proposed method has a high detection rate of 1.73% compared with the conventional MSER and MSER + LBP method.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.540-543
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• 2020

본 논문에서는 대표적인 이미지 분류 모델인 CNN(Convolutional Neural Network)과 시간에 따른 이미지의 변화를 학습할 수 있는 LSTM(Long Short-Term Memory) 기반의 온라인 서명인식 모델을 제안한다. 실제로는 위조서명을 미리 구하기 어렵다는 사실을 고려해 서명검증 대상자가 아닌 타인의 진서명과 대상자의 일반 필기 데이터를 음의 데이터로서 학습에 사용하였다. 실험 결과, 전체 이미지 중 서명 부분의 비율에 따라 좋은 성능을 보이는 검증 모델이 다르며 Accuracy 성능지표를 통해 이 비율이 높거나 낮을 경우 CNN-LSTM 이, 중간일 경우 CNN 이 적합하다는 것을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.527-529
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• 2021

This paper focuses on the implementation of machine learning model for Recycling bot, which is a platform service of recycling education. The recycling bot applied with a AI model using collected image set. The experiment confirms that classified by the model result are accurate.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.327-337
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• 2022

With the fierce competition between universities and the diversification and rapid development of multimedia, university promotional videos have become one of the effective means for universities to instill a better brand image, increase their competitiveness, and attract more new students. There were not many studies on university promotional videos in the field of advertising promotion, and there were no comparative studies on university promotional videos in Korea and China. Accordingly, this study aims to analyze promotional videos of the top 30 universities in Korea and China by referring to the world university rankings released by the 2021 World University Rankings (QS) World University Evaluation Agency and explore the differences between the two countries. According to the results of the study, it was found that there were some significant differences between Korea and China's university promotional images in each analysis category. This study is meaningful in that it will serve as a reference for the production of promotional videos for schools in the future while presenting the differences between Korean and Chinese university promotional videos.

• FLOWER RESEARCH JOURNAL
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• v.18 no.4
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• pp.308-314
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• 2010

Importance of color in floral design has been emphasized for long time, but it is difficult to find out standardization of color for floral design and for educational system. Wedding bouquet is major and important part of floral design and it shows same problem. The research is concentrated on color image analysis of wedding bouquet designs which have been submitted for 'Interflora World Cup Competition' with the intention to utilize the study result as the basic information of floral design. Colors of wedding bouquets from 20 different countries were analyzed. All of designers chose high brightness and saturation more for designing the bouquets. Warm colors and cold colors have been taken in similar portion. Blue color has been rarely used and it is probably because of the rarity of blue flowers. This study shows each continent has different color preference. European designers used wide variety of colors while Asian designers preferred red color. From this study, we found that color image scales of wedding bouquets represent 8 images out of 12 representative images. Four exceptions are 'clean', 'elegant', 'gentle' and 'modern' images.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.631-634
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• 2009

Recent advances in wireless communication, electronics, MEMS device, sensor and battery technology have made it possible to manufacture low-cost, low-power, multi-function tiny sensor nodes. A large number of tiny sensor nodes form sensor network through wireless communication. Sensor networks represent a significant improvement over traditional sensors, research on Zigbee wireless image transmission has been a topic in industrial and scientific fields. In this paper, we design a Zigbee wireless image sensor node and multimedia monitoring server system. It consists of embedded processor, memory, CMOS image sensor, image acquisition and processing unit, Zigbee RF module, power supply unit and remote monitoring server system. In the future, we will further improve our Zigbee wireless image sensor node and monitoring server system. Besides, energy-efficient Zigbee wireless image transmission protocol and interworking with mobile network will be our work focus.

• Journal of the Korean Applied Science and Technology
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• v.38 no.5
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• pp.1314-1324
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• 2021

This study attempted to understand the nurse image and major commitment of nursing students, investigate their relationship, and prepare necessary measures to improve the major commitment of nursing students. The data were collected from 185 nursing students enrolled in seven nursing colleges and were analyzed statistically with the SPSS/WIN 24.0 program. The research results are as follows. It was confirmed that the more positive the nurse image perceived by the subject, the higher the major commitment. In addition, influencing factors the major commitment of nursing students identified in the order of major satisfaction, perception of nursing, nurse image, and aptitude and interest among nursing selection motives, and total explanatory power was 42%. Based on the above results, it is necessary to develop and apply a program including a positive nurse image for nursing students.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.261-262
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• 2019

본 논문에서는 신경망 모델에 키보드를 통한 주행 학습을 이용하여 자율 주행을 할 수 있는 시스템을 개발하였다. 주어진 트랙에서 키보드의 방향키를 통해 전진, 후진 등 5가지의 상태로 RC카를 수동 제어하고, 제어시 카메라를 통해 얻어진 이미지를 저장해, 키 제어 데이터와 이미지 데이터를 학습시켜서 자율 주행을 할 수 있는 시스템을 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.185-186
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• 2024

본 논문에서는 CNN 알고리즘을 사용한 수학 문제 답지 추론 모델에 대한 소개를 다룬다. 현재의 학습 보조 서비스 중에서도 질문에 답하는 서비스들이 흔하지만, 수학 문제에 특화된 이미지 기반 답지 추론 서비스는 부족한 상황이다. 본 논문에서는 MathDataset 클래스를 활용하여 수학 문제 이미지와 정답을 연결하는 데이터셋을 생성하고, CNN 알고리즘을 사용하여 모델을 훈련하는 방법을 제시한다.