• Journal of Korean society of Dental Hygiene
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• v.17 no.3
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• pp.515-526
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• 2017

Objectives: This study was carried out for the purpose of examining the levels of vocational awareness and the professional ethics recognition in the clinical dental hygienists. Methods: A survey was conducted targeting 500 members who participated in the supplementary education program for dental hygienists in the first half of 2017. Total 328 subjects' materials were analyzed. Results: A reason for working in terms of the occupational identity was very high with 81.4% in 'aiming to earn money'. A goal of working was the highest with 41.5% in 'financial independence'. The professional ethics approach level was indicated to be the highest with 3.33 points in the domain of human relation. It was shown to be in order of the job satisfaction level with 3.21 points, followed by the lifelong working with 3.17 points, the vocational ethics observance with 2.95 points, the workplace satisfaction level with 2.82 points, and the job anxiety level with 2.65 points. The domain in the job anxiety level according to general characteristics was indicated to be significantly high in the higher age and work career in case of the married and in case of Seoul as a workplace. The domain in the professional ethics observance was shown to be significantly high in the higher work career in case of the married and in case of Gyeonggi Province as a workplace. The domain in the lifelong working was indicated to be significantly high in case of the married. Conclusions: For the establishment of the right professional ethics as a dental hygienist and for the securement of its practice starting from the education for the dental hygiene department, the development of educational program will be needed aiming at the approach to the professional ethics and the reinforcement in the vocational ethics recognition.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.648-654
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• 2009

In this paper, a method called bilateral diagonal 2DLDA is proposed for face recognition. Two methods called Dia2DPCA and Dia2DLDA were suggested to reserve the correlations between the variations in the rows and columns of diagonal images. However, these methods work in the row direction of these images. A row-directional projection matrix can be obtained by calculating the between-class and within-class covariance matrices making an allowance for the column variation of alternative diagonal face images. In addition, column-directional projection matrix can be obtained by calculating the between-class and within-class covariance matrices making an allowance for the row variation in diagonal images. A bilateral projection scheme was applied using left and right multiplying projection matrices. As a result, the dimension of the feature matrix and computation time can be reduced. Experiments carried out on an ORL face database show that the proposed method with three different distance measures, namely, Frobenius, Yang and AMD, is more accurate than some methods, such as 2DPCA, B2DPCA, 2DLDA, etc.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.6
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• pp.212-220
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• 2013

Recently, there has been tremendous increase in human-computer/machine interaction system, where the goal is to provide with an appropriate service to the user at the right time with minimal human inputs for human augmented cognition system. To develop an efficient human augmented cognition system based on human computer/machine interaction, it is important to interpret the user's implicit intention, which is vague, in addition to the explicit intention. According to cognitive visual-motor theory, human eye movements and pupillary responses are rich sources of information about human intention and behavior. In this paper, we propose a novel approach for the identification of human implicit visual search intention based on eye movement pattern and pupillary analysis such as pupil size, gradient of pupil size variation, fixation length/count for the area of interest. The proposed model identifies the human's implicit intention into three types such as navigational intent generation, informational intent generation, and informational intent disappearance. Navigational intent refers to the search to find something interesting in an input scene with no specific instructions, while informational intent refers to the search to find a particular target object at a specific location in the input scene. In the present study, based on the human eye movement pattern and pupillary analysis, we used a hierarchical support vector machine which can detect the transitions between the different implicit intents - navigational intent generation to informational intent generation and informational intent disappearance.

• JSTS:Journal of Semiconductor Technology and Science
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• v.12 no.2
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• pp.150-161
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• 2012

Eye detection is widely used in applications, such as face recognition, driver behavior analysis, and human-computer interaction. However, it is difficult to achieve real-time performance with software-based eye detection in an embedded environment. In this paper, we propose a parallel hardware architecture for real-time eye detection. We use the AdaBoost algorithm with modified census transform(MCT) to detect eyes on a face image. We parallelize part of the algorithm to speed up processing. Several downscaled pyramid images of the eye candidate region are generated in parallel using the input face image. We can detect the left and the right eye simultaneously using these downscaled images. The sequential data processing bottleneck caused by repetitive operation is removed by employing a pipelined parallel architecture. The proposed architecture is designed using Verilog HDL and implemented on a Virtex-5 FPGA for prototyping and evaluation. The proposed system can detect eyes within 0.15 ms in a VGA image.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.162-168
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• 2007

Purpose: Patients hope to receive 'respected nursing' which guarantees the right of privacy and treatment as a human being in hospitals. However, no specific tool has been developed to measure patients' perceived respect from nurses while staying in hospitals. This study was conducted to develop a tool to measure the respect that they experience in hospital. Method: A basic questionnaire was made based on research literature, pilot studies, and collected data via patients' interviews. The questionnaire was verified by 5 members of an expert group, a chief nurse in the clinical area and 10 patients. We distributed the questionnaires to 266 randomly selected inpatients and carried out analyses of factors and content to evaluate the validity and reliability of the questionnaire. Result: According to the results of factor analyses, three factors such as 'cordial treatment', 'consideration', and 'recognition' were extracted, which took up to 61 percent from all variants. Final questionnaires has 30 questions on a 4-point scale. Conclusion: The questionnaire which was designed through the study showed a high reliability and validity. We anticipate that this questionnaire will contribute to fostering nursing care with respect for patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1967-1983
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• 2020

The goal of this paper is to analyze and build an algorithm to recognize hand gestures applying to smart home applications. The proposed algorithm uses image processing techniques combing with artificial neural network (ANN) approaches to help users interact with computers by common gestures. We use five types of gestures, namely those for Stop, Forward, Backward, Turn Left, and Turn Right. Users will control devices through a camera connected to computers. The algorithm will analyze gestures and take actions to perform appropriate action according to users requests via their gestures. The results show that the average accuracy of proposal algorithm is 92.6 percent for images and more than 91 percent for video, which both satisfy performance requirements for real-world application, specifically for smart home services. The processing time is approximately 0.098 second with 10 frames/sec datasets. However, accuracy rate still depends on the number of training images (video) and their resolution.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.2
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• pp.234-245
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• 2012

This study aims to analyze the factors of the extra-curricula area in personal school performance record and propose the practical strategies for entrance examination affairs on this area. To address this goal, we have applied a SWOT analysis with related documents and research results. We found out five strengths: (S1) Link the students' experience to right people for the university, (S2) Quantitative Indicators, (S3) Qualitative Indicators, (S4) Link to other evaluation factors, and (S5) Analysis of Human Resource. The weakness included: (W1) Fairness, (W2) Reliability, (W3) Difficulties to set standards, (W4) Difficulties to set environments, and (W5) Lack of systemic experience of an evaluation. We also discovered five opportunities (O1) Recognition of public education, (O2) The need of national support, (O3) The importance of autonomy, (O4) Specialization, and (O5) Networks. Finally, threat factors consisted of: (T1) Frequent change of educational policy, (T2) Increasing of private education, (T3) Lack of information and preparation time, and (T4) The accuracy and reliability of personal school records. Based on these results, we suggested practical strategies with these four dimensions: S-O, W-O, S-T, and W-T.

• Hwankyungkyoyuk
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• v.21 no.1
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• pp.45-56
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• 2008

This study is to consider the fundamental perceptions of pre-service elementary school teachers to natural environments. The recognition items of questionnaire for those environments include ones of water, atmospheric, soil, biologic and oceanic environments constituting of the earth system. From the results of the study, they affirmatively recognized biologic environment, but they showed highly negative recognitions to others. In other side, it is considered that their recognitions to natural environments were probably transferred by the things which involve press media, curricula and real lives. On the basis of the study results, systematic teaching-learning for natural environments is essential because the encouragement of eco-friendly attitude, one of main goal for environmental education, is budded from basic understandings to natural environments. Affirmatively environmental worldviews for elementary school students are important for reasons why teacher's quality and practice will is fundamental, and then teacher could change the views of the students for environmental education. So, preparing balanced attitudes, right concepts and connection to applicable knowledges for natural environments, pre-service elementary school teachers in environmental education must be pointed to organized education between human and natural environment.

• Journal of IKEEE
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• v.14 no.4
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• pp.291-296
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• 2010

This paper handles, pitching and rolling posture change detection using the visual image changes due to the road slope conditions. When the moving vehicle is slanted to a direction, the objects in the visual images of the vehicle are moving to up or down and right or left. This is similar to the human's balancing behavior depending on the visual image change detection as well as the vestibular organs and semicircular canal in the ear. The proposes method shows the visual image through the camera can be used for the image information itself and for the posture change detection through the experiments.

• Anxiety and mood
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• v.19 no.2
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• pp.48-55
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• 2023

Objective : This study aims to investigate the concept of mental health literacy, its evolution, and its significance in modern healthcare practices. Methods : This paper reviews the evolution of mental health literacy, examining pertinent studies both within the country and internationally. It also addresses the limitations and challenges associated with mental health diagnoses. Results : Findings from various studies indicate that public awareness and recognition of mental health issues are generally inadequate. Identified causes of mental health conditions by study participants point to personal and societal influences, while biological factors are frequently neglected. In South Korea, there is a notable preference for non-professional support over psychiatric interventions. Conclusion : This study highlights the growing importance of mental health literacy in today's society, emphasizing the need for accurate understanding of mental health issues and effective treatment approaches. Similar to physical health literacy, mental health literacy should be considered a basic human right. This perspective marks a shift from a knowledge monopoly held by experts to the inclusion and active involvement of 'people with lived experience' in the mental health service system.