• 농촌지도와개발
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• 제24권3호
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• pp.211-222
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• 2017

The purpose of this study is to examine the effects of agriculture on the career adaptation and career decision by measuring the job value and the subjective norm of agriculture. Conclusions based on the study results can be suggested as follows. First, career decision self-efficacy and subjective norm were significant variables in career adaptability of agriculture major college students. Therefore, the belief that one can plan and practice career goals and the affirmation of career plans and decisions in the vicinity are important factors in career adaptability. Second, Self-Realization and social recognition were significant variables in career decision self-efficacy of college students majoring in agriculture. In other words, it can be judged that social recognition such as honor and honor of others in a career choice has a positive effect on the career decision self-efficacy which is self-esteem in career selection. Lastly, An important variable for the subjective norms of agricultural college students was social recognition. This can be said that the positive perception of the surrounding people is very important as the value of social recognition is more important.

• 한국응급구조학회지
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• 제22권2호
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• pp.7-22
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• 2018

Purpose: This study aimed to investigate recognition, attitudes, knowledge, education experience, and education demand regarding physical restraint among laypersons. Methods: A self-reported questionnaire was completed by 105 randomly recruited laypersons in D city. Excluding 2 incomplete answers, 103 data were analyzed by frequency analysis, t-test, ANOVA, and chi-square test using SPSS 23.0. Results: Laypersons' recognition of physical restraints was rated at 3.37 out of 5 points, and showed a positive perspective. Knowledge on physical restraints was rated at 13.68 out of 18 points and was affected by age and education level (F = 2.845, p = .028)(F = 3.126, p = .029) A majority of the participants had no education on physical restraints. Nevertheless, participants showed intention to receive education in physical restraint to reach further understanding. Conclusion: Education on physical restraints is necessary for lay persons. However, there were education limits for people living in modern times. As an intervention addressing this problem, observing videos on the internet is recommended. Moreover, for advertising/educational purposes, accessing the internet and using smart-phone applications are suggested.

• 한국멀티미디어학회논문지
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• 제17권4호
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• pp.506-513
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• 2014

In recent years, research on user's activity recognition using a smart phone has attracted a lot of attentions. A smart phone has various sensors, such as camera, GPS, accelerometer, audio, etc. In addition, smart phones are carried by many people throughout the day. Therefore, we can collect log data from smart phone sensors. The log data can be used to analyze user activities. This paper proposes an approach to inferring a user's physical activities based on the tri-axis accelerometer of smart phone. We propose recognition method for four activity which is physical activity; sitting, standing, walking, running. We have to convert accelerometer raw data so that we can extract features to categorize activities. This paper introduces a recognition method that is able to high detection accuracy for physical activity modes. Using the method, we developed an application system to recognize the user's physical activity mode in real-time. As a result, we obtained accuracy of over 80%.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.196-204
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• 2017

Behavior of intelligent video surveillance system is recognized by analyzing the pattern of the object of interest by using the frame information of video inputted from the camera and analyzes the behavior. Detection of object's certain behaviors in the crowd has become a critical problem because in the event of terror strikes. Recognition of object's certain behaviors is an important but difficult problem in the area of computer vision. As the realization of big data utilizing machine learning, data mining techniques, the amount of video through the CCTV, Smart-phone and Drone's video has increased dramatically. In this paper, we propose a multiple-sliding window method to recognize the cumulative change as one piece in order to improve the accuracy of the recognition. The experimental results demonstrated the method was robust and efficient learning units in the classification of certain behaviors.

• 한국멀티미디어학회논문지
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• 제23권4호
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• pp.581-587
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• 2020

In this study, we investigated the correlation between logotype elements and brand recognition among corporate logos using quantification methodology 2. In addition, this study wanted to find out if consumers could easily recognize the product according to the design elements of the logotype. Our study showed that feminine tendency in logotype design was associated with clothes and cosmetics and masculine design element that will make people recall the game and health products. There were clothes and cosmetics for men but feminine design factor was strongly associated with clothes and cosmetics. In other words, logotype for cosmetic and clothing needed to be feminine by using neutral and cold colors. The relationship between the logotype and related products affected the brand recognition and this result can be used as a key element of corporate marketing.

• 한국실천공학교육학회논문지
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• 제4권2호
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• pp.171-175
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• 2012

최근 정보기술을 이용하여 인간의 감정을 인식하고 소통할 수 있는 ICT(Information and Communication Technology)의 연구가 증가하고 있다. 예를 들어 상대방의 마음을 읽기 위해서 그 사람과의 관계를 형성하고 활동을 해야만 하는 시대에서 사회의 디지털화로 그 경험이 디지털화 되어가며 마인드를 리딩 할 수 있는 디지털기기들이 출현하고 있다. 즉, 인간만이 예측할 수 있었던 감정을 디지털 기기가 대신해 줄 수 있게 된 것이다. 얼굴에서의 감정인식은 현재 연구되어지는 여러 가지 감정인식 중에서 효율적이고 자연스러운 휴먼 인터페이스로 기대되고 있다. 본 논문에서는 감성 ICT에 대한 고찰을 하고 그 사례로서 얼굴감정 인식 시스템에 대한 메카니즘을 살펴보고자 한다.

• 농촌계획
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• 제23권3호
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• pp.97-105
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• 2017

The interest and participation of the rural experience is increasing as an alternative for the problems such as the decrease of the agricultural income facing the agriculture and the rural area, the decrease of the population, and the regional stagnation. The rural experience has recently been transformed into a software dimension such as programs and participation activities in the past. In addition, public awareness also positively evaluates agriculture and rural communities as the basis for supporting society and recognition of multiple functions. Furthermore, the intention of the citizen to the earnest village is increasing. The purpose of this study is to analyze the effect of rural experience and customer satisfaction of urban residents on the recognition of return to farm and rural areas. As a result of the analysis, it was found that the characteristics of rural experience had a positive effect on the farming villages by the program, the experience field and the host, and the customer satisfaction had a positive effect on the farming villages. Therefore, it is considered that a systematic approach to the rural experience is needed in the future because the experience of the rural people in the city has a positive effect on the earliest villages.

• 보건행정학회지
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• 제20권3호
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• pp.157-172
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• 2010

This study was conducted to evaluate the effects of health-behavioral change for the elderly group after community based education of chronic diseases management. We measured self recognition of health status, medication administration of hypertension and diabetes, regular check for blood pressure and blood sugar level, recognition of body indicators (weight, hight, blood pressure, blood sugar etc), knowledge level for chronic diseases management and smoking and alcohol habitation before and after education of chronic diseases management for participants. The subjects of this study consist of 432 people with community-dwelling Seoul citizen being active churches. Education programs designed essential parts of fundamental chronic diseases management, physical exercises for health promotion, diet and nutrition etc. All data collection completed for 5 months from Aug. 2008 to Dec. 2008 by trained surveyors via interview survey. The data obtained were analyzed using descriptive statistics, Wilcoxon Singed Rank test, McNemar test and Paired t-test. The results showed that self recognition of health status, knowledge level for chronic diseases management, recognition of body indicators were statistically significantly increased after the education of chronic diseases management. Also, blood pressure were statistically significantly decreased in elderly with hypertension and blood sugar were statistically significantly decreased in elderly of high-risk group. Based on these results, it was suggested that preventive education policy of chronic diseases management should be considered with priority coming true for successful aging society.

• 한국산학기술학회논문지
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• 제7권2호
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• pp.200-205
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• 2006

본 논문은 치아의 전치교합(anterior occlusion)과 후치교합(posterior occlusion) 상태에서 획득된 치아 영상에 대하여 BMME와 LDA에 기반한 개인 인식 방법을 제안한다. 이 방법은 전치교합과 후치교합 상태의 치아 영상에서 치아 영역 추출, BMME, 패턴 인식 과정으로 구성된다. 이들 두 치아교합은 영상에서 일관된 자세의 치아 영상을 얻을 수 있도록 하며, BMME는 패턴 인식 과정에서 정합 오차를 줄이도록 해 준다. 치아는 딱딱하므로 치아영상을 사용하면 영상 획득 시 변형되지 않기 때문에 유용하다. 제안된 방법은 20명을 대상으로 개인 인증을 위한 치아인식 실험에서 성공적이었으며, 멀티 모달(multi-modal) 인증 시스템에 기여할 수 있음을 보였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권3호
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• pp.186-191
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• 2015

Hand gesture is the most common tool used to interact with and control various electronic devices. In this paper, we propose a novel hand gesture recognition method using fuzzy logic based classification with a new type of sensor array. In some cases, feature patterns of hand gesture signals cannot be uniquely distinguished and recognized when people perform the same gesture in different ways. Moreover, differences in the hand shape and skeletal articulation of the arm influence to the process. Manifold features were extracted, and efficient features, which make gestures distinguishable, were selected. However, there exist similar feature patterns across different hand gestures, and fuzzy logic is applied to classify them. Fuzzy rules are defined based on the many feature patterns of the input signal. An adaptive neural fuzzy inference system was used to generate fuzzy rules automatically for classifying hand gestures using low number of feature patterns as input. In addition, emotion expression was conducted after the hand gesture recognition for resultant human-robot interaction. Our proposed method was tested with many hand gesture datasets and validated with different evaluation metrics. Experimental results show that our method detects more hand gestures as compared to the other existing methods with robust hand gesture recognition and corresponding emotion expressions, in real time.