• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.123-128
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• 2010

ularly, a points of view Health-care system, it can reduce costs and efforts in order to management of patients. However, Health-care system keep a level of service for person and extends of hospital inner parts system. Although the rate of an addict grow by alcoholic but it is difficult to manage and diagnosis because of patient data gathering. Therefore in this thesis, it is proposed to patient data gathering and monitering method in u-zone. It can collect patient data by pulse, temperature and acceleration sensor and it can diagnosis correct based on emotion change data.

• Journal of information and communication convergence engineering
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• v.5 no.4
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• pp.389-393
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• 2007

The distribution of donated blood for medical purpose is an area that presents many challenges. In order to establish a comprehensive solution, the current patterns of distribution must be reviewed and problems related to it need to be clearly understood. This paper introduces 'Radio Frequency Identification (RFID) System', as a potential solution to some of the problems which arise in the process of blood supply distribution, and a way to systematically manage the blood supply. For the various possible RFID systems, the reader and tag must be suitable for the purpose of blood distribution. A database has been designed that can recognize tags and objects in a ubiquitous RFID blood distribution system. In this paper, we design the real-time software to control the RFID reader system and transponder, using the EEPROM memory by RFID. The experimental results confirm that the transmission rate of 3.9kbps for RF is 125 KHz. The electric power usage of transponder chip is $100{\mu}W$, with the recognition distance is about 7cm range.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07b
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• pp.1183-1186
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• 2004

Degradation and insulation failure of traction motor depend on the continuous stress imposed on it. And knowing on insulation condition is important thing for safety operation of EMU(electric multiple unit). In this paper, PD(partial discharge) characteristics for degradation analysis of stator coil is studied. For PD data acquisition, two models are made; one is normal condition coil, the other is aged condition coil. And PD data for discrimination were acquired from PD detector. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for degradation of stator coil.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.1
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• pp.138-146
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• 2008

Purpose: The first responder's role during a cardiac arrest scene is to initiate CPR. The AHA has recognized and included the first responder's role for improving the survival rate of cardiac arrest patients. Health personnel working in nursing, emergency care, dental hygiene, radiology, and ocular optics frequently confront sudden cardiac arrest while working. This study was to identify the relationship between the educational experience and recognition with the level of knowledge about CPR for college students. Method: Five hundred forty college students enrolled in the department of nursing science, radiological technology, ocular optics, emergency medical technician, or dental hygiene in Daejeon city were surveyed. The tool used was CPR knowledge developed by the authors based on a literature review including 2005 AHA's CPR guideline. Result: The higher educational experience of CPR was, the higher the level of knowledge. The knowledge of the students in nursing or emergency medical technician was higher than students in dental hygiene, radiology, and ocular optics. Conclusion: CPR class should be included in the curriculum for college students in order to improve their accuracy as a first responder to cardiac arresting patients.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.39 no.4
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• pp.379-388
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• 2002

In this paper, the real-time algorithm is proposed for automatic detection of the face and facial features. In the face region, we extracted eyes, nose, mouth and so forth. There are two methods to extract them; one is the method of using the location information of them, other is the method of using Gaussian second derivatives filters. This system have high speed and accuracy because the facial feature extraction is processed only by detected face region, not by whole image. There are some kinds of good experimental result for the proposed algorithm; high face detection rate of 95%, high speed of lower than 1sec. the reduction of illumination effect, and the compensation of face tilt.

• 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 Auto-vehicle Safety Association
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• v.12 no.3
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• pp.43-51
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• 2020

Currently, the second level of the six stages of self-driving technology, as defined by SAE, is commercialized, and the third level is preparing for commercialization. The purpose of ACC is to be evaluated as a system useful for preventing and preventing accidents by minimizing driver fatigue through longitudinal speed control and relative distance control of the vehicle. In this regard, for the study of safety assessment methods in the practical environment of ACC. Distance measurement method using monocular camera and data acquisition equipment such as DGPS are utilized. Based on the evaluation scenario considering the domestic road environment proposed by the preceding study, the relative distance obtained from equipment such as DPGS and the relative distance using a monocular camera in the actual test is verified by comparing and analyzing the safety assessment. The comparison by scenario results showed a minimum error rate of 3.83% in Scenario 1 and a maximum of 14.61% in Scenario 6. The cause of the maximum error is that the lane recognition is not accurate in the camera image and irregular operation conditions such as rushing in or exiting the surrounding area from the walkway. It is expected that safety evaluation using a monocular camera will be possible for other ADAS systems in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.111-116
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• 2016

According to the Ministry of Science, ICT and Future Planning's survey of information gap, smartphone retention rate of disabled people stayed in one-third of non-disabled people, the situation is significantly less access to information for people with disabilities than non-disabled people. In this paper, we develop an application, CallHelper, that helps to be more convenient to use mobile voice calls to the auditory disabled people. CallHelper runs automatically when a call comes in, translates caller's voice to text output on the mobile screen, and displays the emotion reasoning from the caller's voice to visualize emoticons. It also saves voice, translated text, and emotion data that can be played back.

• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.141-147
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• 2014

Dental clinic programs for elementary school children to live healthy life by promote healthy lives by oral health self-management skills. This study on schools with and without dental clinics compared and analyze teacher's knowledge of and attitudes toward oral care and determines whether or not to recommend the school dental clinic program. The subjects of the study were 239 teachers in schools with dental clinics and 201 teachers in schools without dental clinics. In total, the study included 20 schools and 440 teachers. Teachers from schools with dental clinics had a higher recognition rate of the purpose of tooth brushing and the fluoride caries preventive effect than teachers from schools without dental clinics. However, there was no significant difference between schools with and without dental clinics when we compared the daily tooth brushing frequency and oral health attitude. There is also need of a school dental clinic program for teachers because if teachers lack knowledge and professionalism of oral health it will affect the student's oral health attitudes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.7
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• pp.2420-2433
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• 2014

Fusing the scores of multibiometrics is a very promising approach to improve the overall system's accuracy and the verification performance. In recent years, there are several approaches towards studying score level fusion of several biometric systems. However, most of them does not consider the genuine and imposter score distributions and result in a higher equal error rate usually. In this paper, a novel score level fusion approach of different biometric systems (dual iris, thermal and visible face traits) based on $Acz{\acute{e}}l$-Alsina triangular norm is proposed. It achieves higher identification performance as well as acquires a closer genuine distance and larger imposter distance. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand database with noisy samples and the NVIE face database with visible and thermal face images. The rigorous results suggest that significant performance improvement can be achieved after the implementation of multibiometrics. The comparative experiments also ascertain that the proposed fusion approach outperforms the state-of-art verification performance.