• Journal of Families and Better Life
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• v.28 no.5
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• pp.101-111
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• 2010

The purpose of this study was to develop a standardized scale to diagnostic life planning in late adolescence. A preliminary 32 item scale was developed through a literature review & a survey. 896 people responded to an online survey using the preliminary scale. A series of test, such as test-retest, item-to-total correlation, factor analysis and Cronbach' ${\alpha}$ reliability were conducted using the survey data and a scale comprising 31 items was constructed finally. The diagnostic scale for life planning in late Adolescence consisted of seven factors : (1) complete growth minds (2) life- plan (3) variety experiences (4) close relationships (5) management of healthy body (6) practical finance-plans (7) active preparation of future job. The scale is useful as a guideline for managing life of the late Adolescence. And it is helpful to them to make plan for the better life.

• Journal of Korean Society for Quality Management
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• v.8 no.2
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• pp.29-37
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• 1980

The purpose of this study is to define the role of a T. Q. C. engineer in the plant engineering activities. A "plant engineering" moves to complete a new project through a series of stages such as: 1. Research & Development stage. 2. Economic evaluation & engineering design stage. 3. Erection & start up stage. 4. Final production & control stage. This suggests that the plant engineering project should be carried out with a wide variety of tasks, as well as a central control. For a successful completion of the project, a T. Q. C. engineer is required, in practice, either as a central activity creator or as a key advisor in each task.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.6
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• pp.335-341
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• 2016

As information technology advances rapidly, various smart devices are becoming an essential element in our lives. Smart devices are providing services to users through applications up on the operating system. Operating systems have a variety of rules, such as scheduling applications and controlling hardwares. Among those rules, it is significant to protect private information in the information-oriented society. Therefore, isolation task, that makes certain memory space separated for each application, should highly be guaranteed. However, modern operating system offers the function to access the memory space from other applications for the sake of debugging. If this ability is misused, private information can be leaked or modified. Even though the access authority to memory is strictly managed, there exist cases found exploited. In this paper, we analyze the problems of the function provided in the Android environment that is the most popular and opened operating system. Also, we discuss how to avoid such kind of problems and verify with experiments.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.71-73
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• 2000

Considering that there is the lack of standards for storing genome-related on-line documents, the techniques in Natural Language Processing (NLP) is likely to become more and more important. It is necessary to extract useful information from the raw text and to store it in a computer-readable database format. Recent advances in NLP technologies raise new challenges and opportunities for tackling genome-related on-line text for information extraction task, For example, we can obtain many useful information related to genetic network or metabolic pathways simply by analyzing verbs such as 'activate'or 'inhibit'in Medline abstracts in a fully automatic way, Thus, combining NLP techniques with genome informatics extends beyond the traditional realms of either technology to a variety of emerging applications.

• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.1-11
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• 2018

Human activities recognition is a challenging task due to its complexity of human movements and the variety performed by different subjects for the same action. This paper presents a recognition algorithm by using skeleton information generated from depth maps. Concatenating motion features and temporal constraint feature produces feature vector. Reducing dictionary scale proposes an improved fast classifier based on sparse representation. The developed method is shown to be effective by recognizing different activities on the UTD-MHAD dataset. Comparison results indicate superior performance of our method over some existing methods.

• Knowledge Management Research
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• v.20 no.4
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• pp.149-168
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation is emerging in the education and learning fields. As the use of the mobile Internet and mobile devices has become a daily life, mobile learning that supports a variety of learning in a mobile environment is drawing attention. Mobile learning applications (apps) are expected to expand their use by providing a convenient learning environment anytime, anywhere. This study investigates the use of mobile learning apps in English education, which is one of the most popular learning areas, and empirically examines the factors that influence the continuous use of mobile learning apps. In particular, it analyzes the differences between Chinese and Korean users. The results of this study provide theoretical and practical implications to promote the development of mobile apps suitable for mobile learning environments and the sustainable user growth in mobile learning.

• The Journal of Korea Robotics Society
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• v.3 no.1
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• pp.9-15
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• 2008

Unlike robotic systems, humans excel at a variety of tasks by utilizing their intrinsic impedance, force sensation, and tactile contact clues. By examining human strategy in arm impedance control, we may be able to teach robotic manipulators human''s superior motor skills in contact tasks. This paper develops a novel method for estimating and predicting the human joint impedance using the electromyogram(EMG) signals and limb position measurements. The EMG signal is the summation of MUAPs (motor unit action potentials). Determination of the relationship between the EMG signals and joint stiffness is difficult, due to irregularities and uncertainties of the EMG signals. In this research, an artificial neural network(ANN) model was developed to model the relation between the EMG and joint stiffness. The proposed method estimates and predicts the multi joint stiffness without complex calculation and specialized apparatus. The feasibility of the developed model was confirmed by experiments and simulations.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.422-429
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• 2007

The rapid growth of the online information services causes the problem of information explosion. Automatic text summarization techniques are essential for dealing with this problem. There are different approaches to text summarization and different systems have used one or a combination of them. Considering the wide variety of summarization techniques there should be an evaluation mechanism to assess the process of summarization. The evaluation of automatic summarization is important and challenging, since in general it is difficult to agree on an ideal summary of a text. Currently evaluating summaries is a laborious task that could not be done simply by human so automatic evaluation techniques are appearing to help this matter. In this paper, we will take a look at summarization approaches and examine summarizers' general architecture. The importance of evaluation methods is discussed and the need to find better automatic systems to evaluate summaries is studied.

• Health Policy and Management
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• v.12 no.3
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• pp.77-98
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• 2002

The purpose of this study is to empirically investigate the determinants of occupational commitment of hospital nurses. For this study, a causal model of occupational commitment of hospital nurses was constructed based on the exchange theory. The sample of this study consisted of 329 nurses from S general hospitals located in Seoul and south-eastern area of Korea. Data were collected with self-administered questionnaires and analyzed using hierarchical multiple regression. It was found that four task reward variables(variety, significance, workload and resource inadequacy), one social reward variable(supervisory support) and two organizational reward variables(promotional chances and pay) had significant net effect on hospital nurses' occupational commitment. The implications of these findings were discussed and the suggestions for future research wert advanced.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2001.10a
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• pp.219-226
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• 2001

In general, engineers have to consider a variety of factors in design of a structure. For this reason, it was difficult to make a design program up to now. But the rapid development of hardware and software turns it into a possibile one with considering complex factors and designing simple structures. When we use the design program including structural analysis, we can save time and cost to make calculations; report and drawing. In addition, the design program was developed to reduce the man made errors. Therefore, in this study, we try to develope the design program of the superstructure of P.S.C girder bridge and abutment. This program will provide engineers with time that they can spend on a creative and efficiency task for development of design.