• Health Policy and Management
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• v.20 no.2
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• pp.89-103
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• 2010

Purpose : This study is descriptive research that confirms regularity of breakfast and related factor. Methods : The duration for investigation took place from April to May 2007 and 550 middle students of 6 middle school who lived in G city participated in investigation. The contents of the questionnaire consist of general trait, diet trait, life pattern and health state. Results : The significant variables of regularity of breakfast habit have some gender differences. For male students, recognition of importance of the breakfast, breakfast preparer, spare time before attendance and one's parents' breakfast habit are significant variables. On the other hand, for female students, recognition of importance of the breakfast, breakfast preparer and an income level are significant variables(p<.05). For male students, the cross ratio has 3.52 for recognition of importance of breakfast, 2.72 for one's parents' breakfast habit, 2.05 and 3.13 when one's mother prepare breakfast. For female students, the cross ratio is 3.24 score when one's mother prepare breakfast. Conclusion : The regularity of breakfast habits is related to recognition of importance of breakfast, mother's breakfast preparation and his or her parents'breakfast habit. It is necessary to propose the importance of breakfast to improve the regularity of breakfast habit and concern of parents for breakfast.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.103-115
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• 2017

Globally, frequency and scale of natural disasters are growing, also the damage is increasing. In view of the damage by natural disasters for several years, it is true that Korea is not free from such damages. In this paper, we propose a process to efficiently manage recovery resources in case of disaster damage. We utilize the IoT technology to detect the resource status in real time, and configure the process so that the state and movement of the recovery resource can be grasped in real time through the resource activity recognition module. In addition, we designed the database that is necessary to actualize it, and developed and experimented resource activity recognition module using smart-phone sensors. This will contribute to building a quick and efficient disaster response system.

• Journal of Society of Preventive Korean Medicine
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• v.17 no.1
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• pp.107-116
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• 2013

Objectives : This study was aimed to facilitate mutual comprehension between Western and Traditional Korean Medicine (TKM) by analyzing recognition of medical school students on traditional medical prescription and treatment such as herbal medicines and acupuncture. Methods : We conducted a survey targeting medical school students of four medical schools from April through May 2009, and analyzed 208 cases responded. Results : Survey results revealed that medical school students took knowledge of traditional medicine from TV programs and on the Web in general. They thought they had considerable traditional medical knowledge but did not almost understand for professional contents. Regardless of some positive recognition for traditional herbal medicine, negative perspectives were more common and its safety and efficacy on the drug reference were considered as a major reason. On the other hand, recognition on acupuncture was comparatively positive. Scientific data for both herbal medicine and acupuncture are lacking in reality but the attitude only for acupuncture was different. Of the survey respondents, 57.8% had negative attitude against diagnostic methods of TKM and 59.1% opposed to the usage of modern medical equipments by TKM doctors. With regard to the future position of TKM, they tacitly approved that TKM would be absorbed into the complementary and alternative medicine (CAM) and importance of TKM objectification, followed by Government's support. Conclusions : Medical school students neither affirm nor deny TKM as a whole but the state of awareness for each item was similar to the physician. In terms of TKM its internal and external innovation would be required to continuously establish objectification of TKM prescription and scientific research on treatment technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.769-786
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• 2016

Object recognition and object location have always drawn much interest. Also, recently various computational models have been designed. One of the big issues in this domain is the lack of an appropriate model for extracting important part of the picture and estimating the object place in the same environments that caused low accuracy. To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. The second contribution is to introduce a new algorithm for finding object place based on the salient map automatically. The performance evaluation on several data sets proves that the new approach outperforms other state-of-the-arts.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.4
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• pp.9-18
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• 2011

In this paper, we propose a method which recognizes human activity using model-based gaze direction estimation in an indoor environment. The method consists of two steps. First, we detect a head region and estimate its gaze direction as prior information in the human activity recognition. We use color and shape information for the detection of head region and use Bayesian Network model representing relationships between a head and a face for the estimation of gaze direction. Second, we recognize event and scenario describing the human activity. We use change of human state for the event recognition and use a rule-based method with combination of events and some constraints. We define 4 types of scenarios related to the gaze direction. We show performance of the gaze direction estimation and human activity recognition with results of experiments.

• Journal of the Ergonomics Society of Korea
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• v.30 no.6
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• pp.705-713
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• 2011

Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.53-59
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• 2018

Due to the recent developments in computer vision technology, complex actions can be recognized with reasonable accuracy in smart cities. In contrast, violence recognition such as events related to fight and knife, has gained less attention. The capability of visual surveillance can be used for detecting fight in streets or in prison centers. In this paper, we proposed a deep learning-based violence recognition method for surveillance cameras. A convolutional neural network (CNN) model is trained and fine-tuned on available benchmark datasets of fights and knives for violence recognition. When an abnormal event is detected, an alarm can be sent to the nearest police station to take immediate action. Moreover, when the probabilities of fight and knife classes are predicted very low, this situation is considered as normal situation. The experimental results of the proposed method outperformed other state-of-the-art CNN models with high margin by achieving maximum 99.21% accuracy.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.77-87
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• 2024

Purpose : The study aim was to determine the present state of occupational therapists in Korea in terms of the Model of Human Occupation (MOHO). We collected basic data for future research by investigating recognition by occupational therapists for applications of the MOHO and the necessity thereof. Specifically, we explored ways to effectively apply the MOHO in occupational therapy. Methods : We conducted a study from December 3, 2023, to January 18, 2024. A survey was administered to 163 occupational therapists. The general characteristics, recognition, and necessity of the MOHO were examined using a frequency analysis and descriptive statistics. Results : The most responses to "degree of ease of access to the MOHO information" were for "disagree" 56 people(34 %). Regarding "degree of satisfaction with information about [the] MOHO," 53 people (33 %) responded with "disagree" (the highest response rate). Only 22 % had applied the MOHO previously. Second, occupational therapists thought that the MOHO should be applied in occupational therapy clinical practice; they also believed that related education was needed for occupational therapy university/college students and occupational therapists. In response to the question, "What channels do you think MOHO education will be helpful for?", 118 people (32 %) answered "continuing education at the association level," and 86 people (23 %) answered "educational institutions aimed at MOHO." Conclusion : Based on these results, I recommend the following. For application of the MOHO in occupational therapy clinical practice, an occupation-based concept must first be established. In addition, related knowledge must be acquired through the expansion of education regarding the MOHO. The efficient application of the MOHO will ultimately lead to improvement in the health of clients.

• Annual Conference of KIPS
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• 2006.05a
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• pp.295-298
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• 2006

본 논문은 에이전트빌더를 통해 자동차 자율 운행을 위한 자동 주행 에이전트, 위치 파악 에이전트, 상태 점검 에이전트가 협동하는 멀티 에이전트를 구현하였다. 멀티에이전트의 협동 및 제어를 위해서 에이전트빌더에 내에 메타 제어기의 구성을 보여 주었으며, 현실에서의 자동차 주행 시 일반적으로 생기는 환경변수를 고려하고 일정 지역을 통하여 자율 주행에 대한 가능성을 찾았다.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2011.09a
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• pp.23-33
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• 2011

The key features of an intelligent and dynamic design methodology for rock engineering projects has been introduced and summarized firstly, which include some new functions such as intelligent recognition of mechanical rockmass parameters, strategies to select modeling methods and codes, integrated feedback modeling and information, and technical auditing in rock engineering design process. Then typical examples of applications of the dynamic design methodology in some large slopes, underground powerhouses in China are summarized. The discussions are given for the future of the methodology.