• Journal of Korean society of Dental Hygiene
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• v.15 no.3
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• pp.547-553
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• 2015

Objectives: In this comparative analytic study the standard competency of American Dental Hygienists proposed by the America Dental Education Association was examined and compared with the competency of American school of entry-level to identify the competence required by domestic dental hygienists. Methods: Based on the standard competency presented by the America Dental Education Association the 109 schools which provide respective dental hygiene competency among 336 universities and colleges belonging to the entry-level were compared with each other, and the collected data were processed by SPSS 21.0. Results: The descriptive statistics upon overall competence were prepared and the results of survey revealed the highest average score of 7.53 for the Core competency. It was identified that there were statistically significant difference between two groups of the above(the top 25%) and below the average level(the 25% from the bottom) in all the competency. The competency of participation in local community and patients' care were appeared as significant variables affecting the core competency of dental hygienists with the 76.4% of explanatory power, and the model reveals the statistically significant results(p<0.001). Conclusions: Based on these results it was identified that the ethical, communication skill, self-development efforts, and capability of critical thinking and judgment were necessary competency for the dental hygienists. Further efforts to integrate and standardize the competency of domestic dental hygienists are thus needed and based on these integrated and standardized competencies the integrated curricula to cultivate domestic dental hygienists should be developed.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.1
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• pp.92-100
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• 2010

Purpose: This study was conducted to investigate the cognition level and the performance level of universal precautions on blood-borne infections and to analyze related-factors on the performance level for universal precautions among the nurses. Method: A total of 166 nurses participated in the survey. We performed multiple linear regression to assess the related-factors on the performance level for universal precautions. Result: The mean scores of cognition and performance level for universal precautions were 65.61(${\pm}8.74$) and 53.98(${\pm}8.42$) respectively. The mean score of the cognition level was significantly lower than the performance level in all items. The cognition level was associated with the working field. The performance level was highest for nurses working over 36 years, nurses in university hospitals, and nurses in the operating room. The cognitive level for universal precautions, education level, exposure to blood-borne infection, family's income, and marital status significantly predicted the performance level for universal precautions in the multiple linear regression model (Adjusted $R^2=0.42$). Conclusion: The cognition level for universal precautions is the strongest predictor on the performance level for universal precautions. An integrated approach should incorporate training experiences to improve cognition and perception of risk on universal precautions for preventing blood-borne infections.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.125-131
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• 2021

The problem of determining the maintenance point which minimizes the process-related total cost is called the 'process mean shift problem'. By expanding and integrating the existing maintenance models that have been partially progressed, we present a expanded and integrated maintenance model which reflects the production site where various situations occur. To implement this, we set both the upper and lower limits of the product specification, and adopted the quality loss function for conforming items. Also, we set the process variance of the wear level as a function rather than a constant. In this study, we developed two general functions to the wear level. One is about the production volume and the other is maintenance cost. As a result, this study is expected to be a maintenance model that can be applied to various processes. In the future, this study can be developed as a profit maximization model by adding profit items from product sales, and expansion to a maintenance model that introduces failure to the model of this study can be considered.

• Journal of Ecology and Environment
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• v.31 no.2
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• pp.89-95
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• 2008

Sensing the approach of a predator is critical to the survival of prey, especially when the prey has no choice but to escape at a precisely timed moment. Escape behavior has been approached from both proximate and ultimate perspectives. On the proximate level, empirical research about electrophysiological mechanisms for detecting predators has focused on vision, an important modality that helps prey to sense approaching danger. Studies of looming-sensitive neurons in locusts are a good example of how the selective sensitivity of nervous systems towards specific targets, especially approaching objects, has been understood and realistically modeled in software and robotic systems. On the ultimate level, general optimality models have provided an evolutionary framework by considering costs and benefits of visually elicited escape responses. A recent paper showed how neural network models can be used to understand the evolution of visually mediated antipredatory behaviors. We discuss this new trend towards integration of these relatively disparate approaches, the proximate and the ultimate perspectives, for understanding of the evolution of behavior of predators and prey. Focusing on one of the best-studied escape pathway models, the Orthopteran LGMD/DCMD pathway, we discuss how ultimate-level optimality modeling can be integrated with proximate-level studies of escape behaviors in animals.

• Journal of Korea Multimedia Society
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• v.17 no.8
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• pp.968-976
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• 2014

Authentication methods on smartphone are demanded to be implicit to users with minimum users' interaction. Existing authentication methods (e.g. PINs, passwords, visual patterns, etc.) are not effectively considering remembrance and privacy issues. Behavioral biometrics such as keystroke dynamics and gait biometrics can be acquired easily and implicitly by using integrated sensors on smartphone. We propose a biometric model involving keystroke dynamics for implicit authentication on smartphone. We first design a feature extraction method for keystroke dynamics. And then, we build a fusion model of keystroke dynamics and gait to improve the authentication performance of single behavioral biometric on smartphone. We operate the fusion at both feature extraction level and matching score level. Experiment using linear Support Vector Machines (SVM) classifier reveals that the best results are achieved with score fusion: a recognition rate approximately 97.86% under identification mode and an error rate approximately 1.11% under authentication mode.

• The Korean Journal of Quaternary Research
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• v.22 no.1
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• pp.13-22
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• 2008

The Indian summer monsoon behaved in an abnormal way in 2002 and as a result there was a large deficiency in precipitation (especially in July) over a large part of the Indian subcontinent. For the study of deficient monsoon of 2002, a recent version of the NCAR regional climate model (RegCM3) has been used to examine the important features of summer monsoon circulations and precipitation during 2002. The main characteristics of wind fields at lower level (850 hPa) and upper level (200 hPa) and precipitation simulated with the RegCM3 over the Indian subcontinent are studied using different cumulus parameterization schemes namely, mass flux schemes, a simplified Kuo-type scheme and Emanuel (EMU) scheme. The monsoon circulation features simulated by RegCM3 are compared with the NCEP/NCAR reanalysis and simulated precipitation is validated against observation from the Global Precipitation Climatology Centre (GPCC). Validation of the wind fields at lower and upper levels shows that the use of Arakawa and Schubert (AS) closure in Grell convection scheme, a Kuo type and Emanuel schemes produces results close to the NCEP/NCAR reanalysis. Similarly, precipitation simulated with RegCM3 over different homogeneous zones of India with the AS closure in Grell is more close to the corresponding observed monthly and seasonal values. RegcM3 simulation also captured the spatial distribution of deficient rainfall in 2002.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.59-66
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• 2021

In this paper, an improved integrated security control procedure is newly proposed by applying artificial intelligence technology to integrated security control and unifying the existing security control and AI security control response procedures. Current cyber security control is highly dependent on the level of human ability. In other words, it is practically unreasonable to analyze various logs generated by people from different types of equipment and analyze and process all of the security events that are rapidly increasing. And, the signature-based security equipment that detects by matching a string and a pattern has insufficient functions to accurately detect advanced and advanced cyberattacks such as APT (Advanced Persistent Threat). As one way to solve these pending problems, the artificial intelligence technology of supervised and unsupervised learning is applied to the detection and analysis of cyber attacks, and through this, the analysis of logs and events that occur innumerable times is automated and intelligent through this. The level of response has been raised in the overall aspect by making it possible to predict and block the continuous occurrence of cyberattacks. And after applying AI security control technology, an improved integrated security control service model was newly proposed by integrating and solving the problem of overlapping detection of AI and SIEM into a unified breach response process(procedure).

• Journal of the Korean Society for Railway
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• v.9 no.6 s.37
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• pp.778-783
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• 2006

This study investigates the ultimate behavior of reinforced concrete beams by means of practical nonlinear finite element (FE) analyses. Uniaxial constitutive models for the concrete and steel material are selected in this study. The adopted material model is integrated into the ABAQUS fiber beam elements through a user-defined material subroutine (UMAT). Within a developed nonlinear finite element framework, the FE results have been compared to experimental results reported by other researchers. It has been found that the proposed finite element model is capable of predicting the initial cracking load level, the yield load, the ultimate load, and the crack distribution with acceptable accuracy.

• Knowledge Management Research
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• v.9 no.1
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• pp.129-146
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• 2008

The purpose of this study is to examine the effect of knowledge management on the organizational performance by using structural equation model and to suggest new integrated framework about knowledge management by understanding the determinants of organizational capability to knowledge management in social capital point of view. To serve the purpose of this study, we conducted the extensive survey on 256 Korean companies in diverse industries including the manufacturing. Specifically, from the empirical result of this study, we identified that knowledge management performs more actively as the level of social capital increases, and the company that achieve knowledge management actively shows relatively higher performance than one that do not. On the other hand, among the sub-factors composing the social capital, Vision/Purpose/Value and Norms of Reciprocity directly affect to the organizational performance without knowledge management.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.277-288
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• 2001

Nowadays, for the competitive power of an enterprise, there are many attempts to implement information system that could support business innovation by business process re-engineering. However, there is no effort to standardize the core business processes of enterprise based on standards of data, documents. These facts make it difficult to introduce and implement enterprise information system designed by business processes of the higher level. Therefore, standardization of business process by analyzing the functionality and relationships among them are important and necessary. The results of our research are summarized as process-driven standardization (standardization of core business processes) and development of a repository. In process-driven standardization, we proposed the reference model by analyzing the business processes of the leading enterprises for core business processes. The reference model focuses on core business processes, such as sales management, procurement management, production management, logistics management, and customer support in manufacturing industry. We developed a knowledge-based system as a repository for a integrated management system of business process. And this repository was built up web-based system for the purpose of both reference and management.