• The Journal of Korean Society for School & Community Health Education
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• v.10 no.2
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• pp.85-94
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• 2009

Objectives: This study was conducted to improve dental health regarding behavior and understanding of dental health of day care teachers by analyzing actual dental health state. Methods: This study was performed from October 1 to October 30, 2008 for 194 teachers who worked at nurseries in Daegu. Results: In the toothbrushing recognition, 42.3% of the said that tooth brushing after eating is necessary but only 26.3% had the children bush teeth. They did not have the children brush the teeth because they did not have enough time. Many teachers (75.3%) said that dental caries could be prevented. But only 4.1% of them said that fluorine is effective for the prevention of dental caries. The preschool teachers had dental health education experience, better understood the importance of dental health education than those who did not have(p < 0.05). Conclusion: The preschool teachers who had dental health education better recognized the importance of dental health education.

• Journal of Korea Multimedia Society
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• v.18 no.3
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• pp.376-386
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• 2015

Since affective computing has been introduced in 90s, affect recognition technology has achieved substantial progress recently. However, the application of user emotion recognition into software user interface is in its early stages. In this paper, we describe a new approach for developing mobile user interface which could react differently depending on user emotion states. First, an emotion reaction model is presented which determines user interface reactions for each emotional state. We introduce a pair of mappings from user states to different user interface versions. The reacting versions are implemented by a set of variations for a view. Further, we present an authoring framework to help developers/designers to create emotion-aware reactions based on the proposed emotion reaction model. The authoring framework is necessary to alleviate the burden of creating and handling multi versions for views at the development process. A prototype implementation is presented as an extension of the existing authoring tool DAT4UX. Moreover, a proof-of-concept application featuring an emotion-aware interface is developed using the tool.

• Journal of Advanced Navigation Technology
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• v.12 no.6
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• pp.559-566
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• 2008

In this paper, we propose a voice instruction-based takeoff system for aircraft including unmanned aerial vehicle (UAV). The system consists of voice recognition (VR), flight state checking and instruction (command) execution. Employing VR technology, the proposed takeoff system can provide simplified and more reliable takeoff procedures to pilots. By virtue of the VR-based system it is expected that human errors during takeoff phase can be reduced and further navigation safety can be improved.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.254-259
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• 2011

For the emergency detecting in general CCTV environment of our daily life, the monitoring by only images through CCTV information occurs some problems especially in cost as well as man power. Therefore, in this paper, for detecting emergency state dynamically through CCTV as well as resolving some problems, we propose a detection and recognition method for emergency and non-emergency speech by GMM. The proposed method determine whether input speech is emergency or non-emergency speech by global GMM. If emergeny speech, local GMM is performed to classify the type of emergency speech. The proposed method is tested and verified by emergency and non-emergency speeches in various environmental conditions.

• Journal of Korean society of Dental Hygiene
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• v.17 no.4
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• pp.555-564
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• 2017

Objectives: The purpose of the study is to investigate the oral health assessment and satisfaction according to recognition and beneficiary oral health projects for oral health promotion of the elderly. Methods: The subjects were elderly over 65 years old in Jeonbuk province. The study instrument was structured questionnaire including general characteristics, oral care condition, recognition of project, satisfaction of project, geriatric oral health assessment index, life satisfaction. For data analysis, the study used independent t-test, one way ANOVA and Pearson correlation analysis. Results: The subjects of this study were well aware of the perceived health status of oral health projects. Satisfaction scaling project was the highest in the satisfaction of the received projects. People who recognized the oral health project had a high oral health assessment index. People who benefit from oral health project showed higher satisfaction in life. Conclusions: As for the elderly's perception on oral health care, they showed higher oral health assessment index and life satisfaction.

• Journal of Sensor Science and Technology
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• v.24 no.1
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• pp.69-77
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• 2015

The Microsoft Kinect is a motion sensing input device which is widely used for many motion recognition applications such as fitness, sports, and rehabilitation. Until now, most of remote rehabilitation systems with the Microsoft Kinect have allowed the user or patient to do rehabilitation or fitness by following the motion of a video screen. However in this paper we propose a smart remote rehabilitation system with the Microsoft Kinect motion sensor and a wearable ECG sensor which can allow patients to offer monitoring of the individual's performance and personalized feedback on rehabilitation exercises. The proposed noble smart remote rehabilitation is able to monitor and measure the state of the patient's condition during rehabilitation exercise, and transmits it to the prescriber. This system can give feedback to a prescriber, a doctor and a patient for improving and recovering motor performance. Thus, the efficient rehabilitation training service can be provided to patient in response to changes of patient's condition during exercise.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.419-434
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• 2020

The purpose of the study is to design and propose metadata standard for building AI training dataset of landmark images. In order to achieve the purpose, we first examined and analyzed the state of art of the types of image retrieval systems and their indexing methods, comprehensively. We then investigated open training dataset and machine learning tools for image object recognition. Sequentially, we selected metadata elements optimized for the AI training dataset of landmark images and defined the input data for each element. We then concluded the study with implications and suggestions for the development of application services using the results of the study.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.4
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• pp.13-20
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• 2016

It is possible to implement an optical character recognition system using a high-resolution camera mounted on smart phones in the modern society. Further, characters extracted from the implemented application is possible to provide the voice service for the visually impaired person by using TTS. But, it is difficult for the visually impaired person to properly shoot the objects that character information are included, because it is very hard to accurately understand the current state of the object. In this paper, we propose a method of inducing an appropriate shooting for the visually impaired persons by using a smartphone gyro sensor. As a result of simulation using the implemented program, we were able to see that it is possible to recognize the more character from the same object using the proposed method.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.3
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• pp.145-150
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• 2014

This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.

• Journal of Korean Public Health Nursing
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• v.8 no.2
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• pp.57-64
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• 1994

The purpose of this study is to investigate the present state of worker's physical. behavioral effects and recognition about the hazard factors in their workplace. The subject consisted of 208 workers in the organic solvents related industry. The workers were surveyed by means of a Questionnaire during the period of March 24 to May 26. 1994. The data were analyzed by descriptive statistics. t-test. AVOVA using the SAS program. The result of the study are follows: 1. The more than half of workers in the organic solvents related industry have experienced 'eye disturbance', 'headache', 'sputum formation' and 'dizziness'. 2. $83.4\%$ of workers have recognized the name of organic solvents in using of their workplace. $62.4\%$ of workers have recognized the harmfulness of organic solvents. $41.7\%$ of workers have not recognized the difference of harmfulness of various organic solvents. 3. $27.8\%$ of workers have called on clinic when have experienced physical symptoms. About $90\%$ of workers have called on hospitals and drugstores when have experienced physical symptoms.