• Iberoamérica
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• v.13 no.1
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• pp.351-388
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• 2011

Many global business failures have been ascribed to a lack of intercultural competence, especially to a lack of an adequate conceptualization and definition of intercultural competence, focusing instead on the knowledge, skills, and attributes that appear to be its antecedents. Intercultural competence should be perceived as multifaceted important components of global management capabilities. Depending on the related concepts of intercultural competence, such as global mindset, intercultural sensitivity, and cultural intelligence, dynamic aspects of intercultural competence as learning process are suggested. Also, the domain of intercultural competence in the context of global management or business comprised three dimensions - perception management, relationship management, and self management. Each dimension is characterized by facets that further delineate aspects of intercultural competence. With respect to the domain of intercultural competence, appropriateintercultural training methods should be designed. In practice, human resource managers may benefit from gaining knowledge about which measures to use for identifying employee's weakness in intercultural competence in order to create appropriate training programs.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.74-82
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• 2007

Context awareness using intelligent system is emphasized in order to provide automatic services in home automatic system. In this paper, we propose the intelligent context-aware system for home automation. To implement home automation, we first collect various events occuring in user's home, which are saved as a case form. We use the saved data as a training data of a neural network algorithm and then apply to intelligent context aware system for home automation. This system provide "right situations do right things" for user. Also this system has intelligent ability.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.441-452
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• 2022

Training using metacognition in a learning environment is one of the topics that have been continuously studied since the 1990s. Metacognition can be broadly divided into declarative metacognitive knowledge and procedural metacognitive knowledge (metacognitive skills). Accordingly, metacognitive training has also been studied focusing on one of the two metacognitive knowledge. The purpose of this study was to examine the role of metacognitive skills training in the context of mathematical problem solving. Specifically, the learner performed the prediction of problem difficulty, estimation of problem solving time, and prediction of accuracy in the context of a test in which problems of various difficulty levels were mixed within a set, and this was repeated 5 times over a total of 5 weeks. As a result of the analysis, we found that there was a significant difference in all three predictive indicators after training than before training, and we revealed that training can help learners in problem-solving strategies. In addition, we analyzed whether there was a difference between the experiment group and control group in the degree of test anxiety and math achievement. As a result, we found that learners in the experiment group showed less emotional and relationship anxiety at 5 weeks. This effect through metacognitive skill training is expected to help learners improve learning strategies needed for test situations.

• Perspectives in Nursing Science
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• v.14 no.1
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• pp.1-9
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• 2017

Purpose: To study the internal psychological conflicts among nursing students during an infection control protocol carried out in the hospital by measuring their observation skills and performance during clinical training. Methods: Investigation of both pre- and post- infection control was conducted using questionnaires for clinical infection practices. We identified and evaluated the students' observation skills, clinical performance, clinical perception, and internal conflict regarding clinical infection control. We also interviewed the students as part of our study. Results: Among parameters such as clinical performance, observation skills, clinical perception, and internal conflict, the average observation skills (t=5.49, p<.001) were significantly lower, while internal conflict among students (t=-7.23, p<.001) was significantly higher than expected prior to clinical training. Generally, there was a negative correlation between observation skills and internal conflict in every aspect of infection control practice (r=-.281, p=.031). Internal conflict was significantly higher than expected in the context of hand hygiene (t=-2.135, p=.037), personal hygiene (t=-3.48, p=.002), and ventilator management (t=-3.69, p<.001). Clinical performance of students in the context of hand hygiene (t=4.69, p<.001), personal hygiene (t=2.06, p=.044), and ventilator management (t=2.68, p<.001) was significantly lower than expected prior to clinical training. Conclusion: Our findings showed that internal psychological conflict is higher when infection control practices are observed or performed to a lesser degree. Therefore, reinforcing education regarding infection control among students, such as developing a systematic program, or consecutive training and monitoring, is suggested.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.695-700
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• 2008

Artificial neural network (ANN) has been extensively used in areas of nonlinear system modeling, analysis and design applications. Basically, ANN has its distinct capabilities of implementing system identification and/or function approximation using a number of input/output patterns that can be obtained via numerical and/or experimental manners. The paper describes a role of ANN, especially a back-propagation neural network (BPN) in the context of engineering analysis, design and optimization. Fundamental mechanism of BPN is briefly summarized in terms of training procedure and function approximation. The BPN based causality analysis (CA) is further discussed to realize the problem decomposition in the context of multidisciplinary design optimization. Such CA is also applied to quantitatively evaluate the uncoupled or decoupled design matrix in the context of axiomatic design with the independence axiom.

• MALSORI
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• no.61
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• pp.113-123
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• 2007

The environmental differences between training and testing mode are generally considered to be the critical factor for the performance degradation in speaker recognition systems. Especially, general speaker recognition systems try to get as clean speech as possible to train the speaker model, but it's not true in real testing phase due to environmental and channel noise. So in this paper, the new method of weighting the frame-based likelihood according to frame SNR is proposed in order to cope with that problem. That is to make use of the deep correlation between speech SNR and speaker discrimination rate. To verify the usefulness of this proposed method, it is applied to the context dependent speaker identification system. And the experimental results with the cellular phone speech DB which is designed by ETRI for Koran speaker recognition show that the proposed method is effective and increase the identification accuracy by 11% at maximum.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.19-24
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• 2022

The main purpose of the study is to analyze the current state of the organization's information security system in the context of COVID-19 on the basis of public-private partnership. The development of public-private interaction in information security is one of the priorities of the state policy of many estates. Among the priorities of public-private partnership in cybersecurity and information security, there is an expansion of interaction between government agencies and private scientific institutions, public associations and volunteer organizations, including in training, as well as increasing the digital literacy of citizens and the security culture in cyberspace. As a result of the study, the foundations of the organization's information security system in the context of COVID 19 were formed on the basis of public-private partnership.

• Journal of Construction Engineering and Project Management
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• v.9 no.4
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• pp.16-33
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• 2019

The increasing size and complexity of modern construction projects demands mature capabilities of onsite personnel with regard to recognizing unsafe situations. Construction safety training is paper or computer-based and suffers from a distinct gap between the classroom training environment and real-world construction sites; even trained personnel can find it difficult to recognize many of the potential safety hazards at their jobsites even after receiving construction safety training. Immersive technologies can overcome the current limitations in construction safety training by reducing the gap between the classroom and a real construction environment. This research developed and tested a new Augmented Reality (AR)-based assessment tool to evaluate the hazard recognition skills of students majoring in construction management as part of a construction safety course. The quantitative and qualitative results of this research confirmed that AR-based assessment can become a very effective assessment tool to evaluate safety knowledge and skills in a construction safety course, outperforming both paper and computer-based assessment methods. The students preferred AR-based assessment because it provides a realistic visual context for real world safety hazards.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.273-281
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• 2022

The purpose of this research is to look into the effects of organizational culture and training and development on work discipline and performance. The data for this study was directly obtained from employees of a municipal water corporation in Medan, Indonesia, with a total of 204 participants. Partial Least Square Structural Equation Modeling (PLS-SEM) was applied for data analysis. The results showed that organizational culture and training and development positively and significantly affect performance. However, organizational culture and training & development positively affect employees' work discipline, albeit insignificantly. The findings of this study suggest that organizational culture and training and development play a critical role in shaping work discipline and performance in organizations in Indonesian settings. Therefore, the finding of this research engage all leaders in the organization to conduct training and development more intensively. Although it seems to have costly, this will have a good impact on the organization in the long run. Furthermore, the authors also suggest the creation of a solid organizational culture for every organization to foster excellent performance. However, each organization should choose its own acceptable organizational culture because it is possible that the organizational culture that works in one context does not work in another.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.655-660
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• 2009

The context prediction algorithms are not suitable to provide real-time personalized service for users in context-awareness environment. The algorithms have problems like time delay in training data processing and the difficulties of implementation in real-time environment. In this paper, we propose a prediction algorithm with user modeling to shorten of processing time and to improve the prediction accuracy in the context prediction algorithm. The algorithm uses moving path of user contexts for context prediction and generates user model by time-series analysis of user's moving path. And that predicts the user context with the user model by sequence matching method. We compared our algorithms with the prediction algorithms by processing time and prediction accuracy. As the result, the prediction accuracy of our algorithm is similar to the prediction algorithms, and processing time is reduced by 40% in real time service environment.