• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.391-396
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• 2005

Red tide(harmful algae) in the Korean Coastal Waters has a given a great damage to the fishery every year. However, the aim of our study understands the influence of meteorological factors (air and water tempaerature, precipitation, sunshine, solar radiation, winds) relating to the mechanism of red tide occurrence and monitors red tide by satellite remote sensing, and analyzes the potential area for red tide occurrence by GIS. The meteorological factors have directly influenced on red tide formation. Thus, We want to predict and apply to red tide formation from statistical analyses on the relationships between red tide formation and meteorological factors. In future, it should be realized the near real time monitoring for red tide by the development of remote sensing technique and the construction of integrated model by the red tide information management system (the data base of red tide - meteorological informations).

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.76-104
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• 2012

For many small and medium-sized enterprises (SMEs), innovation activities to lead a market with technology development and a globalization strategy tend to be a haphazard process due to a lack of capabilities. Thus, this paper aims to explore success factors of the global leading SMEs in Korea that are not only the first mover through technology innovation but also outstanding in export. The analysis utilizes data from Korean Innovation Survey (KIS) and statistical analyses such as t-test and chi-square are performed to compare global leading SMEs and normal SMEs, concentrating on various factors such as information sources, collaboration and non-technology innovation activities. The results indicate that critical success factors involve information from outside companies (information from conferences and government institutes) and government supports through logistic regression analysis. This research suggests a strategic direction for policy makers to promote innovation and growth in SMEs.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.17-29
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• 2005

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within a Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order teaming performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.125-130
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• 2019

The utilization and value of drones are increasing throughout society. However, there was a lack of government support and investment such as lack of technology of domestic drone companies, regulation of loans and lack of technology evaluation items. Therefore, this paper conducts statistical analysis to derive what drone capacity should be strengthened for the drone industry activation in Daegu. As a result, the demand satisfaction(price, quality, service) of drones leads to revitalization of drone industry when the physical, social, and policy factors among drones are strengthened. In conclusion, drone capacity to be strengthened in order to revitalize the drone industry in Korea is based on physical factors(drone demand, development, number of registrations, number of businesses and workers), social factors(national level public relations, establishment of public education institutes, correct understanding of drone occupation, preception), policy factors(privacy measures, government funding, legislation and system easing). As for the three factors, the government, industry, and drone operators are expected to have a bright future when the trinity is improved and complemented.

• Journal of the Korean Solar Energy Society
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• v.36 no.1
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• pp.11-18
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• 2016

The local wind systems in the Pohang region were categorized into wind sectors. Still, thorough knowledge of wind resource assessment, wind environment analysis, and atmospheric environmental impact assessment was required since the region has outstanding wind resources, it is located on the path of typhoon, and it has large-scale atmospheric pollution sources. To overcome the resolution limitation of meteorological dataset and problems of categorization criteria of the preceding studies, the high-resolution wind resource map of the Korea Institute of Energy Research was used as time-series meteorological data; the 2-step method of determining the clustering coefficient through hierarchical clustering analysis and subsequently categorizing the wind sectors through non-hierarchical K-means clustering analysis was adopted. The similarity of normalized time-series wind vector was proposed as the Euclidean distance. The meteor-statistical characteristics of the mean vector wind distribution and meteorological variables of each wind sector were compared. The comparison confirmed significant differences among wind sectors according to the terrain elevation, mean wind speed, Weibull shape parameter, etc.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.86-97
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• 2021

As mechatronic systems have various, complex functions and require high performance, automatic fault detection is necessary for secure operation in manufacturing processes. For conducting automatic and real-time fault detection in modern mechatronic systems, multiple sensor signals are collected by internet of things technologies. Since traditional statistical control charts or machine learning approaches show significant results with unified and solid density models under normal operating states but they have limitations with scattered signal models under normal states, many pattern extraction and matching approaches have been paid attention. Signal discretization-based pattern extraction methods are one of popular signal analyses, which reduce the size of the given datasets as much as possible as well as highlight significant and inherent signal behaviors. Since general pattern extraction methods are usually conducted with a fixed size of time segmentation, they can easily cut off significant behaviors, and consequently the performance of the extracted fault patterns will be reduced. In this regard, adjustable time segmentation is proposed to extract much meaningful fault patterns in multiple sensor signals. By considering inflection points of signals, we determine the optimal cut-points of time segments in each sensor signal. In addition, to clarify the inflection points, we apply Savitzky-golay filter to the original datasets. To validate and verify the performance of the proposed segmentation, the dataset collected from an aircraft engine (provided by NASA prognostics center) is used to fault pattern extraction. As a result, the proposed adjustable time segmentation shows better performance in fault pattern extraction.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.3
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• pp.19-35
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• 2021

Purpose : Recently, there has been a growing social interest in aging well. Consequently, wellness tourism has begun to attract attention. However, no studies on whether wellness tourism has any objective health benefits have been carried out yet. In this study, we assess the health benefits as well as the degree of improvement in health of a wellness tourism program. Methods : The study involved 30 adults over the age of 19 who live in the Gyeongsangnam-do region. Participants were evaluated on health indicator before and after participating in wellness tourism program. Participants took heart rate variability (HRV) test, and LFT, RFT, CBC, FBS HbA1C, and CRP test were conducted before and after the tour. Additionally, a survey was conducted before and after the program, and participant satisfaction was evaluated. Statistical differences in the tests conducted before and after the program were analyzed using a design t-test, a Wilcoxon signed-rank test, and McNemar's test. Results : The study showed that participants were very satisfied with and had significant health improvements after the wellness tourism program. The program was also found to be beneficial in improving participants' emotions as follows: BDI (p<.001), fatigue recovery (p=.006), stress relief (p=.003), improved quality of life (p<.05), and improved sleep quality (p<.001). Conclusion : Wellness tourism programs are specifically beneficial for improving participants' emotions (depression, anxiety), fatigue, stress levels, quality of life, and sleep. Therefore, they are beneficial to the overall health. Further research in the future by way of a follow-up study on the long-term effects on health after short-term interventions will provide more validation data.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.277-284
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• 2019

This study is positive research to figure out enculturation types and to analysis influence of enculturation types on life's satisfaction of the marriage immigrant women. By precedent study, enculturation types was classified by integration factor, separation factor, assimilation factor and marginalization factor. To achieve objectives of study, we carried out sampling, survey and statistical analysis. According to result of study, integration factor and assimilation factor were appeared positive influence and separation factor was appeared negative influence statistically on quality of life of them. Therefore for quality of life of the marriage immigrant women, it need to develop interact system with native persons, support opportunity to associate with koreans, and promote fair treatment and interaction of koreans for them. And government have to execute multiculturalism policy more than assimilation policy. this study have that was samples's regional limitation, few variables limitation, and cross-sectional research's limitation. Therefor it needs more wide and depth research than this for future.

• Journal of Ocean Engineering and Technology
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• v.33 no.5
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• pp.427-434
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• 2019

Artificial intelligence (AI)-aided research currently enjoys active use in a wide array of fields thanks to the rapid development of computing capability and the use of Big Data. Until now, forecasting methods were primarily based on physics models and statistical studies. Today, AI is utilized in disaster prevention forecasts by studying the relationships between physical factors and their characteristics. Current studies also involve combining AI and physics models to supplement the strengths and weaknesses of each aspect. However, prior to these studies, an optimization algorithm for the AI model should be developed and its applicability should be studied. This study aimed to improve the forecast performance by constructing a model for neural network optimization. An artificial neural network (ANN) followed the ever-changing path of a typhoon to produce similar typhoon predictions, while the optimization achieved by the neural network algorithm was examined by evaluating the activation function, hidden layer composition, and dropouts. A learning and test dataset was constructed from the available digital data of one typhoon that affected Korea throughout the record period (1951-2018). As a result of neural network optimization, assessments showed a higher degree of forecast accuracy.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.403-414
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• 2021

Purpose: The purpose of this study is to provide the effective safety management system to prevent similar chemical accidents through accident investigations. Method: Chemical accident prevention and response management systems at the central and local government levels were reviewed, Also, statistical data of chemical accidents occurred in the last 5 years were analyzed. In particular, Two accidents with high accident risk were analyzed. Result: Chemical accidents that have occurred in the last 5 years were analyzed to occur in the order of hydrochloric acid, sulfuric acid, and nitric acid, and concrete safety management improvement measures were derived through investigations of two causes. Conclusion: In this study, we proposed safety management plans in terms of technical and management aspects. The results of this study are expected to be used as effective in preventing and managing chemical accidents.