• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.6
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• pp.363-372
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• 2015

Recent some SoC FPGA Releases that integrate ARM processor and FPGA fabric show better performance compared to the ASIC SoC used in typical embedded image processing system. In this study, using the above advantages, we implement a SoC FPGA-based Real-Time Object Recognition and Tracking System. In our system, the video input and output, image preprocessing process, and background subtraction processing were implemented in FPGA logics. And the object recognition and tracking processes were implemented in ARM processor-based programs. Our system provides the processing performance of 5.3 fps for the SVGA video input. This is about 79 times faster processing power than software approach based on the Nios II Soft-core processor, and about 4 times faster than approach based the HPS processor. Consequently, if the object recognition and tracking system takes a design structure combined with the FPGA logic and HPS processor-based processes of recent SoC FPGA Releases, then the real-time processing is possible because the processing speed is improved than the system that be handled only by the software approach.

• Korean Journal of Occupational Health Nursing
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• v.22 no.2
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• pp.75-82
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• 2013

Purpose: This study is to investigate the effect of nurse's competency empowerment and boss' job competency recognition on work performance. Methods: 216 nurses participated for data collection which was conducted from September 1, 2011 to September 10, 2011. The collected data were analyzed with SPSS/WIN 16.0 and with frequency test, ANOVA, Scheff$\acute{e}$ test and Multiple regression. Results: Firstly, the work performance in accordance with subject's general characteristics was found to be significant in the 50s, graduate school or higher education, Roman Catholic, charge nurse and 21-years or older. Secondly, the correlation among nurse's competency empowerment, boss' competency recognition and work performance was found to be positively related (r=.501~.639, p<.001). Thirdly, competency empowerment was found to be the most effective factor for work performance, followed by boss' competency recognition and career year, and these factors accounted for 63.5%. Conclusion: As the results show that the work performance is highly affected by the nurse's competency empowerment, boss' competency recognition level and career level in clinical environment, effective education programs are required to provide an appropriate experience to both entry-level and experienced nurses, as well as to enhance boss' competency empowerment at the same time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.779-782
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• 2017

OpenBR is a framework for researching new facial recognition methods, improving existing algorithms, interacting with commercial systems, measuring perceived performance, and deploying automated biometric systems. Designed to facilitate rapid algorithm prototyping, it features a mature core framework, flexible plug-in system, and open and closed source development support. The established algorithms can be used for specific forms such as face recognition, age estimation, and gender estimation. In this paper, we describe the framework of OpenBR and implement facial recognition, gender estimation, and age estimation using supported programs.

• The Journal of Korean Physical Therapy
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• v.33 no.2
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• pp.69-75
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• 2021

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion: Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.79-87
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• 2018

The current PC user authentication uses character password based on user's knowledge. However, this can easily be exploited by password cracking or key-logging programs. In addition, the use of a difficult password and the periodic change of the password make it easy for the user to mistake exposing the password around the PC because it is difficult for the user to remember the password. In order to overcome this, we propose user gesture recognition and challenge-response authentication. We apply user's hand gesture instead of character password. In the challenge-response method, authentication is performed in the form of responding to a quiz, rather than using the same password every time. To apply the hand gesture to challenge-response authentication, the gesture is recognized and symbolized to be used in the quiz response. So we show that this method can be applied to PC user authentication.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.209-214
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• 2020

VoIP technology has been widely used for exchanging voice or image data through IP networks. VoIP technology, often called Internet Telephony, sends and receives voice data over the RTP protocol during the session. However, there is an exposition risk in the voice data in VoIP using the RTP protocol, where the RTP protocol does not have a specification for encryption of the original data. We implement programs that can extract meaningful information from the user's dialogue. The meaningful information means the information that the program user wants to obtain. In order to do that, our implementation has two parts. One is the client part, which inputs the keyword of the information that the user wants to obtain, and the other is the server part, which sniffs and performs the speech recognition process. We use the Google Speech API from Google Cloud, which uses machine learning in the speech recognition process. Finally, we discuss the usability and the limitations of the implementation with the example.

• Journal of Korean Society of Rural Planning
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• v.18 no.3
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• pp.123-135
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• 2012

This study aims to make a comparison of the attitudes between residents, officials and experts towards the rural landscape management polices. It is also designed to suggest the improvements to the rural landscape management policies. This study showed that there were differences in awareness of the rural landscape management polices depending on stakeholder who are residents, officials and experts and experienced groups of rural landscape projects. The directions of improvement of rural landscape policies are as follows: First, it's necessary that the various rural landscape management polices is made of considering the differences on the interest group's recognition. Second, the related rural landscape improvement programs should be implemented based on those plan. Third, the various programs which are to lead voluntary residents participation and to strengthen participant's capabilities have to be arranged to manage the rural landscape effectively.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.9-17
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• 2018

The purpose of this study is to find out how voice recognition technology can be utilized to solve the elderly problem rapidly aging in Korea. Public support services and civilian nursing services for the elderly are expected to expand in Korea. In this case, voice recognition technology can be used variously for the elderly who are not familiar with the media interface. To this end, our researchers visited Japan and examined the achievements obtained by voice recognition technology in the elderly care. Especially, when caregivers write reports, they have greatly reduced their working hours by replacing the handwritten reports with ones using voice recognition technology. This method can be easily implemented in Korea. In addition, the social cost of the elderly support can be gradually reduced through the development of a robot equipped with voice recognition technology. Consequently, we realize that when voice recognition technology is combined with artificial intelligence programs of various emotion recognition functions and various policy possibilities as well.

• Journal of the Korean Home Economics Association
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• v.41 no.8
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• pp.79-95
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• 2003

The main goal of this program is to build a healthy adolescent culture tv broadening the understanding of adolescents and recognition of the environment as well through the development of educational programs centering on the domains of peer relationships, intimacy in dating relationships and sex, leisure activities, and consumption life of adolescents. The program was carried out to 10 young boys and girls for two days/one night and the major findings of the effects of the program through a qualitative evaluation were as follows: First, the program provided adolescent with a proper opportunity to promote a sense of self-confidence through the self-reevaluation process. Secondly, the program provided adolescents with a chance to firmly recognize to become good friends with others though the enhancement of self-esteem, which helped them to build a healthy peer relationship. Thirdly, adolescents were able to promote their views on sex and sexual decision-making by acquiring a proper knowledge of intimacy in dating relationships and of sex, and by candidly expressing their own opinions on sex with instructors. Fourthly, the program provided adolescents with an opportunity to look back on their leisure life with family members which had been neglected thus far and to renew their recognition of active leisure activities. Fifthly, the program provided adolescents with a chance to reflect on their unplanned consumption life and to be firmly determined to refrain from impulsive purchasing and extravagance.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.237-240
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• 2004

This paper describes a character retrieval system for TV programs and a set of novel algorithms for detecting and recognizing faces for the system. Our character retrieval system consists of two main components: Face Register and Face Recognizer. The Face Register detects faces in video frames and then guides users to register the detected faces of interest into the database. The Face Recognizer displays the appearance interval of each character on the timeline interface and the list of scenes with the names of characters that appear on each scene. These two components also provide a function to modify incorrect results. which is helpful to provide accurate character retrieval services. In the proposed face detection and recognition algorithms. we reduce the computation time without sacrificing the recognition accuracy by using the DCT/LDA method for face feature extraction. We also develop the character retrieval system in the form of plug-in. By plugging in our system to a cataloguing system. the metadata about the characters in a video can be automatically generated. Through this system, we can easily realize sophisticated on-demand video services which provide the search of scenes of a specific TV star.