• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6033-6038
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• 2012

This study was designed to identify beliefs about physical activity in cancer patients. Semi- structured interviews were conducted with 20 patients under treatment, who were invited to identify perceived barriers for not adopting a physically active lifestyle and to express their beliefs about physical activity. Content analyses revealed five main categories of beliefs including four types of barriers: (a) barriers related to the side effects of treatment; (b) barriers related to a lack of perceived physical abilities; (c) barriers related to a lack of interest for physical activity; (d) beliefs about the negative effects of physical activity, and (e) beliefs about the positive effects of physical activity. These findings extend the existing literature by indicating how stereotypes may play a role in explaining sedentary lifestyles in cancer patients.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.16-22
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• 2018

This paper presents a solution for personal profiling system based on user-oriented tracking. Here, we introduce a new way to identify and track humans by using two types of cameras: dome and face camera. Dome camera has a wide view angle so that it is suitable for tracking human movement in large area. However, it is difficult to identify a person only by using dome camera because it only sees the target from above. Thus, face camera is employed to obtain facial information for identifying a person. In addition, we also propose a new mechanism to locate human on targeted location by using grid-cell system. These result in a system which has the capability of maintaining human identity and tracking human activity (movement) effectively.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.786-793
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• 2006

For the purpose of developing a vibration-based tension force evaluation procedure for hangers in suspension bridges, a 3D finite element model of hangers is constructed in this paper. With the developed finite element formulation, a frequency-based sensitivity-updating algorithm is applied to identify the target cable system the proposed method is also able to identify the flexural rigidity. the axial rigidity, and the torsion rigidity of a cable. For a field application, a vibration test on hangers of the Yong Jong Grand Suspension Bridge is carried out and the collected data is used to verify the proposed method.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.213-220
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• 2014

This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.10a
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• pp.293-299
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• 1995

A methodology is applied to identify tile learning trend related to the safety and availability of U.S. commercial nuclear power plants. The application is intended to aid in reducing likelihood of human errors. To assure that tile methodology ran be easily adapted to various types of classification schemes of operation data, a data bank classified by the Transient Analysis Classification and Evaluation(TRACE) scheme is selected for the methodology. The significance criteria for human-initiated events affecting tile systems and for events caused by human deficiencies were used. Clustering analysis was used to identify the learning trend in multi-dimensional histograms. A computer rode is developed based on tile K-Means algorithm and applied to find the learning period in which error rates are monotonously decreasing with plant age.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.3
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• pp.395-409
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• 1994

Consumers experience various emotional responses to clothing in consumption process. These emotional responses are important in explaining consumer behavior of clothing. The Purpose of the study was to identify the types of emotion that consumers experience in the process of wearing clothes. A questionnaire consisted of 35 words expressing emotion was developed. 110 female college students were surveyed to find out consumption experience of clothing. The empirical study was conducted in two ways. One is that the subjects were asked to respond six-point unipolar scale of emotional adjectives to identify the various emotions that consumers experienced. The other is that four different wearing situations were described for the survey and then the subjects were asked to respond same questionnaire. The data surveyed for research were analyzed by factor analysis. The conclusion of empirical study was as follows. The types of emotion that consumers experienced at various situstions were: pleasure, arousal, unpleasure, aversion, dominance, sandness, security and tension.

• Journal of Sensor Science and Technology
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• v.19 no.2
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• pp.124-129
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• 2010

For the industrial printing applications, the stability of the piezo-driven inkjet printhead is a major requirement. In this paper, we focused on the failure modes of the inkjet printhead and realized a method to detect and repair them at high speed. The printhead monitoring is performed by detecting the residual vibration of the actuating plate using the self- sensing capability of the piezoelectric material. To measure the channel acoustics and to identify the malfunctioning nozzle, we devised the bridge sensing circuitry and failure detection algorithm. The residual vibration signals can be affected by the boundary conditions of the channel acoustics, so it is possible to identify the failure causes by analyzing the monitoring signals. Therefore it is also possible to apply a proper restoring process to the defective printhead. The experimental results show that this method is effective in improving the reliability of the industrial printing.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.567-578
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• 2013

The research is a correlational study to look for causes and factors relating to the design of written documents (professional reading materials) and identify those relationships that are useful for communication designers. The research specifically targeted the relationships between perception and reader's past experiences and appearance of the written documents. A preliminary survey, such as interviews, discussions, questionnaires and brainstorming sessions are conducted to establish the observable attributes related to perception which are reader's interests, importance of information and written documents complexity. Finally, the research used Structural Equation Model (SEM) to identify significant differences and analyze strong and weak correlations between these attributes. In general, the results of the study shows that the attribute appearances of a written documents with excellent visualizations for information display shows a strong correlation with interests while the attributes importance is weakly correlated with the complexity of the documents.

• Tunnel and Underground Space
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• v.5 no.3
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• pp.205-213
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• 1995

In order to construct underground structural systems safely and economically, exact identification of the system parameters and accurate analysis of the system behaviors are required. Therefore, necessity of back analysis which is able to identify material properties of underground structural systems is increased. In this study a back analysis program which can identify the system parameters is developed using the direct method to be combined with the forward analysis program. Results of the back analysis program show good agreement with that of Gens et al. Sensitivity of the accuracy and convergency of the back analysis program on the number of measuring points is investigated. Comparison between the results of the back analysis with measurement data and the obtained material properties from the field tests shows good agreement for the real construction site.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.5
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• pp.437-443
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• 2012

In this paper, the hybrid method to identify the exciting forces and radiated noise generated from the reciprocating compressor was presented. In order to identify the exciting force, both the acceleration data measured at the compressor shell and numerical finite element model for the full set of compressor were used simultaneously. Applying the identified exciting forces to the numerical model, the velocity responses of all nodes at the shell were predicted. Finally the radiated noises from the vibrating shell were predicted by using the direct boundary element acoustic analysis. For precise numerical modeling, the stiffness of rubber mounts and body springs were identified experimentally from the natural frequencies measured by impact testing. The error of over-all sound pressure level between predicted noise and measured noise was about 2.9 dB.