• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2420-2422
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• 2003

In this paper, two Fuzzy Logics for path planning of an autonomous mobile robot are proposed. If a target point is given, such problems regarding the velocity and object recognition are closely related with path to which the mobile robot navigates. Therefore, to ensure safety navigation of the mobile robot for two fuzzy logic parts, path planning considering the surrounding environment was performed in this paper. First, feature points for local and global path are determined by utilizing Cell Decomposition off-line computation. Second, the on-line robot using two Fuzzy Logics navigates around path when it tracks the feature points. We demonstrated optimized path planning only for local path using object recognition fuzzy logic corresponds to domestic situation. Furthermore, when navigating, the robot uses fuzzy logic for velocity and target angle. The proposed algorithms for path planning has been implemented and tested with pioneer-dxe mobile robot.

• Journal of Korean Classical Literature and Education
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• no.15
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• pp.245-264
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• 2008

This study considers Huewa悔窩 Anjung-gwan安重觀's self-consciousness and the recognition of the world. Anjung-gwan resents that fact that Qing淸 rules over China. He insists that Chosun朝鮮 must remain faithful to Ming明. But Chosun served Qing in those days. He holds strongly to his belief until his death. So he chooses living in retirement in his life. In Anjung-gwan's poems, we can see that a certain circle of Chosun Confucianists believe in Sojunghwa小中華, which is small-Sinocentrism. In the first half of the eighteenth-century, some Chosun Confucianists feel sad about the situation that stops them from realizing their ideals. But they take pride in natural beauty and configuration of Chosun. And they pay attention to the life of Chosun masses. They recognize Chosun, which is Hwa華, has to keep self-respect to the last.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.275-285
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• 2008

National technical qualification does not recognised degree of working-career in labor market and an industrial field situation. National qualification is supply to nurture expert manpower and accomplish of self-development and a duty accomplishment ability improvement at a side of personal. So, This study is purposed to find that a method for recognition of working-career on the national technical qualification system. According to, this study is designed to questionnaire with BSC(Balaced ScoreCard), SEM(Structure Equation Model) with the delphi method, and is analysed using the AMOS 7.0 program package. Finally, This study is suggested growing to qualification standard for an examination a degree of master craftsman only under the change of national qualification systematization as a standard to operation and control.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1582-1590
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• 2022

Due to the situation of the widespread of the coronavirus, which causes the problem of lack of face image data occluded by masks at recent time, in order to solve the related problems, this paper proposes a method to generate face images with masks using a combination of generative adversarial networks and spatial transformation networks based on CNN model. The system we proposed in this paper is based on the GAN, combined with multi-scale convolution kernels to extract features at different details of the human face images, and used Wasserstein divergence as the measure of the distance between real samples and synthetic samples in order to optimize Generator performance. Experiments show that the proposed method can effectively put masks on face images with high efficiency and fast reaction time and the synthesized human face images are pretty natural and real.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.171-172
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• 2019

In this paper, we consider the dynamic method for the searching development of Web map to the monitoring object in the risk environments. It is to recognize the real-time detection to the risk situation based on the location monitoring mechanism of management to the object movement.

• Journal of Multimedia Information System
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• v.8 no.2
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• pp.85-92
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• 2021

In a face, there is much information of person's identity. Because of this property, various tasks such as expression recognition, identity recognition and deepfake have been actively conducted. Most of them use the exact frontal view of the given face. However, various directions of the face can be observed rather than the exact frontal image in real situation. The profile (side view) lacks information when comparing with the frontal view image. Therefore, if we can generate the frontal face from other directions, we can obtain more information on the given face. In this paper, we propose a combined style model based the conditional generative adversarial network (cGAN) for generating the frontal face from multi-view images that consist of characteristics that not only includes the style around the face (hair and beard) but also detailed areas (eye, nose, and mouth).

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.1
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• pp.33-38
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• 2024

In this paper, we propose the implementation of a drone delivery system using artificial intelligence in a situation where the use of drones is rapidly increasing and human errors are occurring. This system requires the implementation of an accurate control algorithm, assuming that last-mile delivery is delivered to the apartment veranda. To recognize the delivery location, a recognition system using the YOLO algorithm was implemented, and a delivery system was installed on the drone to measure the distance to the object and increase the delivery distance to ensure stable delivery even at long distances. As a result of the experiment, it was confirmed that the recognition system recognized the marker with a match rate of more than 60% at a distance of less than 10m while the drone hovered stably. In addition, the drone carrying a 500g package was able to withstand the torque applied as the rail lengthened, extending to 1.5m and then stably placing the package down on the veranda at the end of the rail.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.289-305
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• 2013

Recently, Green Business/IT becomes very important for management of company, because there are many new regulations about the environment protection, especially to reduce green house effect. The purpose of this research is to investigate present situation of Korean manufacturing industry about the Introduction of Green Business/IT. For the people who is in charge of the decision whether to Introduce Green Business/IT or not, this paper aim to provide some useful findings. We made a research framework consisting of 5Ps (Philosophy, Partner, Process, Product, Public) from literature review, then we found that almost all of the companies in manufacturing industry prepare for the regulations by introducing and using Green Business/IT concepts. There are some differences between production goods industry and consumer's goods industry. Also we found that there are a lot of relationships with recognition level and planning level. The higher the level of profitability, the lower the level of preparing social responsibility. This means there are two opposite perspectives(profitability, social responsibility). Therefore organizations who are adopting Green Business IT/should strive for harmony of sight.

• KIISE Transactions on Computing Practices
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• v.24 no.1
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• pp.53-57
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• 2018

A poisoning accident is often caused by a situation in which people eat poisonous mushrooms because they cannot distinguish between edible mushrooms and poisonous mushrooms. In this paper, we propose an automatic mushroom recognition system by using the convolutional neural network. We collected 1478 mushroom images of 38 species using image crawling, and used the dataset for learning the convolutional neural network. A comparison experiment using AlexNet, VGGNet, and GoogLeNet was performed using the collected datasets, and a comparison experiment using a class number expansion and a fine-tuning technique for transfer learning were performed. As a result of our experiment, we achieve 82.63% top-1 accuracy and 96.84% top-5 accuracy on test set of our dataset.

• English Language & Literature Teaching
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• no.5
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• pp.191-218
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• 1999

The purpose of this study is to investigate the actual conditions of preschool English education, and teachers' and parents' recognition of preschool early English education in Cheonan-city. Recently the importance of English education as an essential means for communication in the whole world is emphasized in our society. That atmosphere makes the elementary schools offer English as a subject in their curriculums, and also many preschool education institutes begin to teach English in their education courses. However before we begin to teach English as a subject in the preschool education, we need to survey the actual conditions of preschools and recognition of teachers and parents. The first part of this study is to survey the theoretical foundations of early English education; 1) the definition of early English education. 2) the situation of early foreign language education in foreign countries. 3) the relationship between the language acquisition and the cognitive development. The second part is to analyze the results of the Questionnaire which was distributed among 86 teachers and 103 parents in Cheonan-city preschools. As a conclusion, some suggestions will be given for the development of early English education in the near future.