• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.74-81
• /
• 2019

The purpose of this study is to summarize the trends and trends of the researchin on flipped learning (FL) in Korea. To accomplish this, a total of 680 papers were selected by using the RISS academic paper search function, and the content analysis was conducted based on the basic bibliographic information provided by RISS and the coding schemes derived from the process of analysis. The data were classified according to the nature of the thesis, method of research, subject of study, academic field of study, topic of research. As a result, the first academic article related to FL appeared in 2013. After the year, FL research has been increased rapidly in various fields. In terms of purpose of study, introduction of FL, basic discussion, exploratory application, and deepening and expansion of the discussion have gradually developed. Now that the challenge of quantitative growth has been fully achieved, it is proposed to examine and consolidate the theoretical foundations of FL research.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2012.02a
• /
• pp.245-245
• /
• 2012

Syntheses of oxide supported metal catalysts by wet-chemical routes have been well known for their use in heterogeneous catalysis. However, uniform deposition of metal nanoparticles with controlled size and shape on the support with high reproducibility is still a challenge for catalyst preparation. Among various synthesis methods, arc plasma deposition (APD) of metal nanoparticles or thin films on oxide supports has received great interest recently, due to its high reproducibility and large-scale production, and used for their application in catalysis. In this work, Au and Pt nanoparticles with size of 1-2 nm have been deposited on titania powder by APD. The size of metal nanoparticles was controlled by number of shots of metal deposition and APD conditions. These catalytic materials were characterized by x-ray diffraction (XRD), inductively coupled plasma (ICP-AES), CO-chemisorption and transmission electron microscopy (TEM). Catalytic activity of the materials was measured by CO oxidation using oxygen, as a model reaction, in a micro-flow reactor at atmospheric pressure. We found that Au/$TiO_2$ is reactive, showing 100% conversion at $110^{\circ}C$, while Pt/$TiO_2$ shows 100% conversion at $200^{\circ}C$. High activity of metal nanoparticles suggests that APD can be used for large scale synthesis of active nanocatalysts. We will discuss the effect of the structure and metal-oxide interactions of the catalysts on catalytic activity.

• Journal of Arbitration Studies
• /
• v.14 no.1
• /
• pp.133-156
• /
• 2004

The rapid development of the internet may not have occurred without techniques of linking and framing, which provide users flexible and easy access to other website. These techniques have enabled internet users to navigate the internet efficiently and sort through the products, services and information available on the internet. The Advent of the global information structure and the do-called EC revolution raise countless new issues and questions. There are no limitations regulating the expressions on the cyberspace due to internet's of quality anonymity? diversity? spontaneity. Therefore, the freedom of speech is expanded in both areas of time and space, which was impossible with the old communicating system. Although online technology raises many new legal issues, the law available to help us resolve them, at least today, is largely based on the world as it existed before online commerce became a reality. Thus the challenge is to predict how these new legal issues may be resolved using the current law. As a result of the drastic change of the environment for international trade of which that has taken took place in parallel with the global information technology revolution on a global basis, the scope of issues to be addressed which should be resolved by the conflict of laws principles has been remarkably expanded, and various new issues of an entirely which are quite new in its type and nature have arisen been raised. Further more in addition, the old act prior act was regarded as insufficient in that it lacked rules on international governing law to adjudicate, or international adjudicatory governing law, where as the expectation of the public was that the private international law should function as the basic law of the legal relational encompassing rules on governing law given the increase of It international disputes. for the move the private international law has also attracted more attention from the korean.

• The Journal of the Korean dental association
• /
• v.55 no.3
• /
• pp.215-228
• /
• 2017

The topic of academic integrity is an important public concern that has emerged in higher education. Recent surveys at U.S. and Canadian dental schools revealed that cheating and plagiarism were significant problems in dental schools. In addition, some schools stated that cheating had increased compared to a decade ago. Various institutional rituals have been implemented to enhance the academic integrity environment of U. S. and Canadian dental schools. Furthermore, the application of honor code which is dealing with ethical issues has been reported to improve the attitudes and behaviors of students. Since there have been no reported studies regarding ethics curricula in Korean dental schools, further studies should be needed to assess academic integrity policies, violations, and the results of the measures in Korean dental schools. Additionally, the challenge to provide professional ethics curricula for dental students must be conducted with respect and humanity for our students and thus, students will be more likely to respond positively to expectations in terms of ethical behaviors. Therefore, the outcome is clearly and undoubtedly link to better care for patients.

• Smart Structures and Systems
• /
• v.23 no.2
• /
• pp.107-122
• /
• 2019

As one of the most important parameters in structural health monitoring, structural frequency has many advantages, such as convenient to be measured, high precision, and insensitive to noise. In addition, frequency-change-ratio based method had been validated to have the ability to identify the damage occurrence and location. However, building a precise enough finite elemental model (FEM) for the test structure is still a huge challenge for this frequency-change-ratio based damage detection technique. In order to overcome this disadvantage and extend the application for frequencies in structural health monitoring area, a novel method was developed in this paper by combining the cross-model cross-mode (CMCM) model updating algorithm with the frequency-change-ratio based method. At first, assuming the physical parameters, including the element mass and stiffness, of the test structure had been known with a certain value, then an initial to-be-updated model with these assumed parameters was constructed according to the typical mass and stiffness distribution characteristic of shear buildings. After that, this to-be-updated model was updated using CMCM algorithm by combining with the measured frequencies of the actual structure when no damage was introduced. Thus, this updated model was regarded as a representation of the FEM model of actual structure, because their modal information were almost the same. Finally, based on this updated model, the frequency-change-ratio based method can be further proceed to realize the damage detection and localization. In order to verify the effectiveness of the developed method, a four-level shear building was numerically simulated and two actual shear structures, including a three-level shear model and an eight-story frame, were experimentally test in laboratory, and all the test results demonstrate that the developed method can identify the structural damage occurrence and location effectively, even only very limited modal frequencies of the test structure were provided.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.441-447
• /
• 2022

The Republic of Korea Army predicted that the continuous decline in fertility rate and the low birth rate, one of the biggest issues in our society, would lead to a security crisis due to a lack of military personnel, and revised the Military Service Act in 2010 to prevent enlistment of 'clearly mixed races', which had previously restricted enlistment. made it compulsory As a result, 50 children from multicultural families enlisted in the military in 2011, and the Military Manpower Administration at the time predicted that more than 8,000 people would enlist every year after 2020. This poses another challenge for the Army. A lack of understanding and respect for different languages, religions, and eating habits can lead to conflict among members, which will lead to weakening of combat power. Therefore, through a case study of multicultural application by world powers, the history of success and failure of respect for multiculturalism and the current policy of respecting multiculturalism of the U.S. Army are studied to examine the direction of our army.

• Journal of the Korean Society of Food Culture
• /
• v.22 no.2
• /
• pp.191-200
• /
• 2007

This study was designed to investigate the correlation between perceived TQM performance and organizational culture of dietitians. The objective of the study is to help the management of foodservice by providing a direction which will elevate perceived TQM performance of dietitians and presenting plans which will ensure effective dietitians. Questionnaires handed out to 308 dietitians worked in institutional foodservice operation including elementary, middle and high schools, hospitals, business and industries. In terms of TQM importance and performance, the more important dietitians perceived, the higher their performance level rose. Data form the IPA, external and internal customer satisfaction, executive ability, communication system and technology, information technology and application ability, food process, strategy, and leadership were required further improvement by dietitians. Of present organizational culture model, human relations model and open systems model were more likely to be adopted by dietitians in middle and high schools. According to the type of foodservice management, the open systems model was more preferred by dietitians from self-operated operations rather than respondents from contracted operations. Canonical correlation analysis between TQM performance and organizational culture showed canonical correlation to be higher (canonical correlations coefficient: .66). In conclusion, TQM performance-organizational culture showed higher canonical correlation. In the organizational culture, foodservice operation is capable of improving the aims for the rational goal model and the open systems model. The results showed that TQM performance and organizational culture had significant relationship, especially positive organizational culture emphasizing on internal process and rational goal model would have influence on TQM performance of dietitians. Foodservice operation, however, should recognize importance of open and development culture to improve dietitians' TQM performance. To apply open system foodservice organization should encourage dietitian and foodservice employees to challenge and compete for the works, Moreover, organizational effort such as information exchange program and support system should be established.

• Information Systems Review
• /
• v.20 no.1
• /
• pp.81-98
• /
• 2018

ERP supports the automation and integration of business processes of enterprises and records voluminous data about the business activities of enterprises. The academe and business enterprises are focusing on process mining, which improves the performance of business processes and strengthens compliance. However, these studies focused on analysis of the business process of large companies, which adopts foreign ERP, such as SAP ERP or Oracle ERP. In comparison with foreign ERP, domestic ERP lags behind in terms of logging and managing of event data. Therefore, the application of process mining to domestic ERP is a challenging task. The present study aims to analyze domestic ERP based on process mining to overcome this challenge. This study discusses the lessons learned from a case study in a Korean cosmetics manufacturing company. Our results are expected to strengthen the competitiveness of Korean small and medium-sized enterprises that adopt domestic ERP and realize the outcomes of the large investment of the Korean government on the ERP implementation of enterprises.

• Asian-Australasian Journal of Animal Sciences
• /
• v.16 no.1
• /
• pp.116-123
• /
• 2003

Forages are the most important feed resource for ruminants worldwide, whether fed as pastures, forage crops or conserved hay, silage or haylage. There is large variability in the quality of forages so measurement and prediction of feeding value and nutritive value are essential for high levels of production. Within a commercial animal production system, methods of prediction must be inexpensive and rapid. At least 50% of the variation in feeding value of forages is due to variation in voluntary feed intake. Identification of the factors that constrain voluntary feed intake allows these differences to be managed and exploited in forage selection. Constraints to intake have been predicted using combinations of metabolic and physical factors within the animal while simple measurements such as the energy required to shear the plant material are related to constraints to intake with some plant material. Animals respond to both pre- and post-ingestive feedback signals from forages. Pre-ingestive signals may play a role in intake with signals including taste, odour and texture together with learned aversions to nutrients or toxins (post-ingestive feedback signals). The challenge to forage evaluation is identification of the factors which are most important contributors to these feedback signals. Empirical models incorporating chemical composition are also widely used. The models tend to be useful within the ranges of the datasets used in their development but none can claim to have universal application. Mechanistic models are becoming increasingly complex and sophisticated and incorporate both feed characteristics and use of biochemical pathways within the animal. Improvement in utilisation through the deliberate selection of pasture plants for high feeding value appears to have potential and has been poorly exploited. Use of Near Infrared Reflectance Spectroscopy is a simple method that offers significant potential for the preliminary screening of plants with genetic differences in feeding value. Near Infrared Reflectance Spectroscopy will only be as reliable as the calibration sets from which the equations are generated.

• The Bulletin of The Korean Astronomical Society
• /
• v.42 no.2
• /
• pp.61.1-61.1
• /
• 2017

As the application of deep-learning methods has been succeeded in various fields, they have a high potential to be applied to space weather forecasting. Convolutional neural network, one of deep learning methods, is specialized in image recognition. In this study, we apply the AlexNet architecture, which is a winner of Imagenet Large Scale Virtual Recognition Challenge (ILSVRC) 2012, to the forecast of daily solar flare occurrence using the MatConvNet software of MATLAB. Our input images are SOHO/MDI, EIT $195{\AA}$, and $304{\AA}$ from January 1996 to December 2010, and output ones are yes or no of flare occurrence. We consider other input images which consist of last two images and their difference image. We select training dataset from Jan 1996 to Dec 2000 and from Jan 2003 to Dec 2008. Testing dataset is chosen from Jan 2001 to Dec 2002 and from Jan 2009 to Dec 2010 in order to consider the solar cycle effect. In training dataset, we randomly select one fifth of training data for validation dataset to avoid the over-fitting problem. Our model successfully forecasts the flare occurrence with about 0.90 probability of detection (POD) for common flares (C-, M-, and X-class). While POD of major flares (M- and X-class) forecasting is 0.96, false alarm rate (FAR) also scores relatively high(0.60). We also present several statistical parameters such as critical success index (CSI) and true skill statistics (TSS). All statistical parameters do not strongly depend on the number of input data sets. Our model can immediately be applied to automatic forecasting service when image data are available.