• Journal of Digital Convergence
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• v.11 no.11
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• pp.753-766
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• 2013

Even though civilization is developing at a fast rate, human beings and their living environments do not look happy. Given that the civilization comes from the human mind, which is changing in interaction with human body, society, and nature, it is hard to think that the human mind is changing in the desirable direction. This paper described a whole changing paradigm of the human mind and its causes through the cognitive mechanism in the brain from which all the diverse minds are formed. According to the cognitive mechanism, the human mind can change from the first free and peaceful mind through the middle mind to the last obsessive and anguish mind in accordance with the change of one of the factors in the origin of the human mind. Today's unfavorable changes in human beings, society, and the natural environment including the excessive development of civilization are the results of the undesirable changes of the human mind. This paper specified the respective characteristics of the first, middle, and the last mind and discussed where individuals' minds are and where they are going. Lastly, this paper suggested the specific ways to return to the first original mind based on the cognitive mechanism.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.233-238
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• 2020

In the cloud environment, IoT devices using sensors and wearable devices are being applied in various environments, and technologies that accurately determine the information generated by IoT devices are being actively studied. However, due to limitations in the IoT environment such as power and security, information generated by IoT devices is very weak, so financial damage and human casualties are increasing. To accurately collect and analyze IoT information, this paper proposes a topographic information-based key management technique that considers IoT information errors. The proposed technique allows IoT layout errors and groups topographic information into groups of dogs in order to secure connectivity of IoT devices in the event of arbitrary deployment of IoT devices in the cloud environment. In particular, each grouped terrain information is assigned random selected keys from the entire key pool, and the key of the terrain information contained in the IoT information and the probability-high key values are secured with the connectivity of the IoT device. In particular, the proposed technique can reduce information errors about IoT devices because the key of IoT terrain information is extracted by seed using probabilistic deep learning.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.253-265
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• 2011

A number of organizations have had big interests in studies concerning leadership and not only academia but also psychological areas do also. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies as predictors and learning performance in IT classes as dependents variables mediated by attitude of attendance focused on the social science students in two universities (Korea(116 samples) and India(36 samples)). And this research tried to compare difference between two university students. As a result of empirical analysis, Korean learners making an effort by themselves show a tendency to think constructively. Namely, even though the level of difficulty may be high, by positive self-talk, respondents usually make an effort to get high academic performance. In case of Indian respondents, students who are in behavior-oriented show higher academic performance. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.155-166
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• 2016

In accordance with the increase of the importance of information security, organizations are making continuous investments to develop policies and adapt technology for information security. Organization should provide systemized support to enhance employees' security compliance intention in order to increase the degree of organization's internal security. This research suggests security policy goal setting and sanction enforcement as a method to improve employees' security compliance in planning and enforcing organization's security policy, and verifies the influencing relationship of Theory of Planned Behavior which explains employee's security compliance intention. We use structural equation modeling to verify the research hypotheses, and conducted a survey on the employees of organization with information security policy. We verified the hypotheses based on 346 responses. The result shows that the degree of goal setting and sanction enforcement has positive influence on self-efficacy and coping efficacy which are antecedents that influence employees' compliance intention. As a result, this research suggested directions for strategic approach for enhancing employee's compliance intention on organization's security policy.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.461-473
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• 2016

The purpose of this study is to analyze cognition of applicants about the national sports coaching certificate examination. In order to collect data an online survey was conducted against those who attended the practical and oral examination for the sports coaching certificate. SPSS Version 18.0 was used to analyze frequency of the collected 2,895 samples, the factors of measuring methods in the study, difference of applicants' cognition on the certificate system, and difference of applicants' cognition on the practical and oral examination. Results from this study indicates that the applicants' cognition on the sports coaching certificate system differs according to ages, educational levels, and sports related majors at college, and that the applicants' cognition on the practical and oral examination for the sports coaching certificate is also different according to gender, age, educational level, and sports related majors at college. This study suggests development directions for the future sports coaching system by comprehending of the study results.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.639-651
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• 2013

This study aims to improve caregiver's labor conditions, to provide a high-quality care service and to offer basic research information for developing a standardized job content of caregiver. The study establishes basic principles for a standardized job content with a literature review and then collects basic information of caregiver's task with an observation technique. The study based on the observation technique develops 11 job categories and 72 duty categories expected to do by the caregiver. The study examines acute care hospitals that provide joint care services in Seoul and Gyeonggi province. Sixty caregivers who work at these hospitals are carried out a survey regarding a specific task of caregiver, an importance of task and a frequency of task. Collected data is analyzed using statistical package SPSS 18.0, and descriptive statistics (frequency, percentage, average, standard deviation) is reported. An analysis of frequency is used to analyze target for research. From the collected information, tasks of caregiver are sorted into 10 job categories and 60 duty categories. As a result of the study, tasks of caregiver are sorted into 10 job categories and 68 duty categories based on the observations technique. One job category and four duty categories are added to the final survey based on an interview with professionals and officials in the field of care service but, one additional job category and four duty categories based on the interview are excepted from the result of the analysis. The interview with professionals and officials is nothing meaningful on the task analysis of caregiver.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.349-359
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• 2013

The study was conducted to identify the perception of patient-safety and the level of safety care activity among nurses in small-medium sized general hospitals. Data were collected at three hospitals among 344 nurses on April 2012 and administered questionnaire regarding the perception of patient-safety and safety-care-activity. Data analyzed by using descriptive statistics, inferential statistics was used to determine comparison, correlation and association (Pearson correlation, t-test, ANOVA, Scheffe test, multiple regression). The results revealed that there were significant differences in the level of perception of patient-safety according to the nurses' career, time of work, and work department in their hospitals. And also there were significant differences in the level of safety-care-activity according to the nurses' age, position, marriage, the nurses' career, time of work in their hospitals. Nurses with higher perceived level of patient-safety performed more safety-care-activities. The findings of the study suggests that in order to improve the nurse's perceived level of patient-safety and safety-careactivities, the hospitals need to establish the policies that support patient-safety, improvement the environmental system, proper working atmosphere to ensure appropriate work time, regulation nurse-patient ratio are also required.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.609-618
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• 2013

This study aims to identify utilization status of medical care and factors to affect quality of life in diabetes mellitus patients. The research selected 6,146 adults aged over 50, who appeared with EQ-5D, from the Korean health panel. We analyzed states of medical care utilization using descriptive statistics. Multiple regression analysis was used to examine the main factors associated with quality of life in diabetes patients. The result shows that quality of life(EQ-5D) in diabetes is significantly associated with gender, age, insurance type, education level, household income, diabetes ambulatory medical cost and the number of ambulatory medical utilization for other diseases. Females, higher age, lower levels of education, medicaid, the lower household income, the higher diabetes ambulatory medical cost, and the higher the number of ambulatory medical utilization for other diseases were the significant factors of lower quality of life. Therefore, it is necessary to develop effective social programs and individualized approach to improve the quality of life in diabetes patients. In the future, these findings can be used as important data for health care policy and assessment.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.59-69
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• 2013

20s country employment rate to 57% in the last four years, is staying low. College graduates in the 25-29 year old crowd real unemployment rate is over 20% youth unemployment, the analysis problem is serious enough. Accordingly, activation of Cooperation, which addresses the issues of these countries now being recognized as the primary means, and in the future, government policy and national indicators to be given more attention and support seems clear. Government from 2012 'Cooperation Development Project leading universities' (LINC: Leaders in INdustry-university Cooperation) by promoting companies that require manpower, actual research and development and technology transfer to enable the University - Industry - between research institutions based on organic correlated with local universities and industrial growth model for the creation of a variety of leading industry cooperation. has to diffuse. This background, the aim of this study at the University of excavation site close-type talent. Fostering curriculum development are essential to the field on the form will close. In this study, major department (Department) conducted by major research based on the results of the curriculum needs to spread the field for Cooperation closely analyze the curriculum and Annual type, domain-specific promotion measures proposed.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.173-181
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• 2017

In this paper, we have studied tracking as a training stage of considering the position and the scale of a person given its previous position, scale, as well as next and forward image fraction. Unlike other learning methods, CNN is thereby learning combines both time and spatial features from the image for the two consecutive frames. We introduce multiple path ways in CNN to better fuse local and global information. A creative shift-variant CNN architecture is designed so as to alleviate the drift problem when the distracting objects are similar to the target in cluttered environment. Furthermore, we employ CNNs to estimate the scale through the accurate localization of some key points. These techniques are object-independent so that the proposed method can be applied to track other types of object. The capability of the tracker of handling complex situations is demonstrated in many testing sequences. The accuracy of the SVM classifier using the features learnt by the CNN is equivalent to the accuracy of the CNN. This fact confirms the importance of automatically optimized features. However, the computation time for the classification of a person using the convolutional neural network classifier is less than approximately 1/40 of the SVM computation time, regardless of the type of the used features.