• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.389-395
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• 2012

This research analyzed the peak impulsive force, maximum velocity and a spot of fist's maximum velocity comparing stop-jirugi and push-jirugi. 7 males volunteered for this experiment. peak impulsive force was measured by PS2142 force platform[10], and maximum velocity of fist was measured by PS2103A motion sensor[12]. All of data was collected in the data studio and t-test was applied using SAS 9.1 package. The following conclusions were drawn. First, stop-jirugi's peak impulsive force was greater (P<.01) than that of push-jirugi. Second, push-jirugi's maximum velocity of fist was greater (P<.01) than that of stop-jirugi. Third, stop-jirugi's maximum velocity of fist was occurred on 69.14% of arm's length and that of push-jirugi was occurred on 75.66%. This maximum velocity spot was statistically significant difference(p<.001).

• Culinary science and hospitality research
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• v.21 no.4
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• pp.251-270
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• 2015

This study was, based on traditional know-how indigenous to Korea, to systemize the knowledge on how to improve health by dining, and to make the best of it statistically. For this purpose, the knowledge in the Sikryo-chanryo(食療纂要), in Korean pronunciation and Siglyochan-yo in Chinese characters, which is an old text referring to diet therapy peculiar to Korea, was compiled into a database and analyzed statistically. Data processing was used as a 'Relational data model'. In addition, we have used nine data table to express diet therapy peculiar to Korea in the Siglyochan-yo. The software used for data construction was Microsoft Access 2014. As a result, the Sikryo-chanryo database, which can provide information on both disease treatment by food, medicines, and gourmet ingredients applicable to every kind of symptom, as well as the names of disease, was set up at in a PC interface. By employing the 'Relational data model', we can replace researching in the conventional method by employing the database.

• Geotechnical Engineering
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• v.5 no.1
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• pp.27-34
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• 1989

This study presents a probabilistic analysis of the stability of homogeneous soil slopes during earthquakes. The stability of the slope is measured through its probability of failure rather than the customary factor of safety. The maximum horizontal ground acceleration is deterimined with Donovan and McGuire equation. The earthquake magnitude (m) is a random variable the Probability density function f(m) has been obtained with a use of Richter law. The potential failure surfaces are taken to be of an exponential shape (log-spiral) , Uncertainties of the shear strength parameters along potential failure surface are expressed by one-dimensional random field model. From a first order analysis the mean and variance of safety margin is osculated. The dependence on significant seismic parameters of the probability of failure of the slope is examined and the results are presented in a number of graphs and tables. On the base of the results obtained in this study, it is concluled that (1) the present model is useful in assessing the reliability of soil slopes under both static and seismic conditions: and (2) the probability of failure of a soil slope is greatly affected by the values of the seismic parameters that are associated with it.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.209-216
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• 2021

In this paper, I developed a scenario-based admission management virtual reality (SAM VR) content for practical training for nursing students and verified the effectiveness. The SAM VR contents used in the study was developed by the researcher using Gear VR and smartphone according to the standard practical procedure suggested by the Korea Acreditation Board of Nursing Education and Evaluation. In the 30 experimental groups who received practical training using SAM VR contents, learning flow, learning confidence, and learning satisfaction increased statistically significantly after the practical training (p<.001). In the control group, who received practical training in the traditional way, learning confidence increased after the practical training (p<.005), but there was no change in learning flow and learning satisfaction (p>.005). It was verified that the SAM VR contents are effective practical education contents for nursing students' learning flow, learning confidence and learning satisfaction.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.59-73
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• 2021

There are many lives lost due traffic accidents, and which have not decreased despite advances in technology. In order to prevent traffic accidents, it is necessary to accurately forecast how they will change in the future. Until now, traffic accident-frequency forecasting has not been a major research field, but has been analyzed microscopically by traditional methods, mainly based on statistics over a previous period of time. Despite the recent introduction of AI to the traffic accident field, the focus is mainly on forecasting traffic flow. This study converts into time series data the records from 1,339,587 traffic accidents that occurred in Korea from 2014 to 2019, and uses the AI algorithm to forecast the frequency of traffic accidents based on driver's age and time of day. In addition, the forecast values and the actual values were compared and verified based on changes in the traffic environment due to COVID-19. In the future, these research results are expected to lead to improvements in policies that prevent traffic accidents.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.1
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• pp.17-31
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• 2009

The importance of software has been growing rapidly owing to the development of various Internet and e-business applications. The traditional approaches to software evaluation are based on the development process perspective, and their major concerns are no strongly related to use or customer-oriented evaluation of software. According to resource-based theory, company's resource is consisted of human, technology, market value, and finance. Customer satisfaction improved by product satisfaction and service satisfaction. Based on the previous studies the factors of human resources, technology, customer satisfaction are selected to evaluate software company's competence This research suggests the factor effecting on sales performance. And then statistical methods are used for verifying relationship between the factor and sales performance.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.795-835
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• 2019

Big data has been generated in various fields. Many companies have now tried to make profits by building a system capable of analyzing big data based on artificial intelligence (AI) techniques. Integrating AI technology has made analyzing and utilizing vast amounts of data increasingly valuable. In particular, demand forecasting with maximum accuracy is critical to government and business management in various fields such as finance, procurement, production and marketing. In this case, it is important to apply an appropriate model that considers the demand pattern for each field. It is possible to analyze complex patterns of real data that can also be enlarged by a traditional time series model or regression model. However, choosing the right model among the various models is difficult without prior knowledge. Many studies based on AI techniques such as machine learning and deep learning have been proven to overcome these problems. In addition, demand forecasting through the analysis of stereotyped data and unstructured data of images or texts has also shown high accuracy. This paper introduces important areas where demand forecasts are relatively active as well as introduces machine learning and deep learning techniques that consider the characteristics of each field.

• Cartoon and Animation Studies
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• s.49
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• pp.399-423
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• 2017

When thinking about the essence of color, green is the image that is settled on the plant itself, and it is also the color shining by the sun. Physics tries to explain green of plants in the correlation of sun and moon, and the history of art contemplates how it is expressed on the canvas. The film attempts to represent a realistic green using camera or computer specific to the medium. Many color theorists who explore the essence of color do not trust the mechanical and reductive scientific colorism that began in Newton and seek a completely different way of exploring in psychology and aesthetics. Like Goethe, who opposed Newton, they do not distinguish the human as subject and the color as object, but focus on the internal grounds of the relationship between subject and color. The representation of color in film is a combination of physics and art. Film color can be expanded to the spiritual dimension beyond the previous emotional and aesthetic, even beyond the physical and mental domains.

• Korean Journal of Ecology and Environment
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• v.38 no.4 s.114
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• pp.482-493
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• 2005

The objective of this research was to evaluate an sampling effect of fish species and individual number on sampling techniques of electrofishing and conventional capture methods of cast net and kick net in 38 stream sites sampled during June - September, 2005. For the study, sampling gears were categorized as three types of electrofishing method (EM), conventional sampling technique (CM), and the combined technique (CT) of the electrofishing and the conventional method to compare statistical differences. Major differences of species composition between the CM and EM method were found in some benthic species of Misgurnus mizolepis and Iksookimia koreensis along with lithophilic species of Pungtungia herzi. These species were predominated in the EM rather than the CM, indicating that conventional sampling can underestimate the abundance of benthic or lithophilic species. In contrast ,individual number of typical water column species such as Zacco platypus and Zacco temmincki were more sampled by the CM, so that these fish populations were community overestimated. Also, t-tests on the types of sampling gear from various watersheds of Chogang Stream, Yugu Stream, Daejeon Stream, and Gap Stream showed that total individual numbers and species number in each stream were significantly (t values = 2.806-6.896, p values<0.05, n = 5-14) greater in the CT than the CM. Similar statistical significance (p<1.001, n = (10-24) on sampling seasons were observed during the monsoon and postmonsoon. These results indicate that if the electrofishing is not added to the conventional gears, the abundance of fish population and community can be underestimated and some benthic or lithophilic species may be excluded from the analysis, resulting in overall errors including sampling, fish fauna, and final judgement of community abundance. Overall our results strongly suggest that new application of electrofishing method along with the conventional sampling gears reduce sampling bias on underestimation of the real fish populations and communities.

• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.1-12
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• 2005

Establishing problem-based leaning(PBL) that is one type of constitutional learning models is meaningful not only for finding the diversity of WBI types but also for being the specific example of constitutional usage of WBI. This paper shows the development of web-based and problem-based learning program for 6th grade students of elementary school and finds its effect on their studies achievement. There were two classes of traditional lessons and one class of web-based and problem-based lessons. It performed a test with the classes for science lesson. It was found that web-based and problem-based learning is more effective on the improvement of studies achievement. There was meaningful difference in studies achievement according to ICT utilization ability. Web-based and problem-based learning statistically had a meaningful effect on the improvement of ICT utilization ability.