• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1081-1090
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• 2010

Most nations including Korean government make a great endeavor to realize low-carbon and green-growth world. We also work hard to expand bicycle facilities and bicycle road in order to increase bicycle transportation rate. Nowadays number of cyclists is increasing but fortunately, bicycle accidents also increase rapidly. Most data of bicycle accidents published by National Police Agency annually are represented as frequencies in two dimensional contingency tables. In this work, risk rates and characteristics of bicycle accidents are analyzed by using concepts of the probability and conditional probability. Especially with numbers of estimated cyclists and registered cars, risk rates of various kinds of bicycle accidents are obtained. Under the assumption of the conditional independence, probability of bicycle accident occurred at realistic situations could be estimated. Furthermore we discuss to reduce bicycle accidents with these results obtained in this work.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.584-589
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• 2010

The dynamic time warping algorithm generally used in time series pattern recognition spends most of the time in generating the correlation table, and it establishes the global path constraint to reduce the corresponding time complexity. However, the constraint restrains just in terms of the time axis, not considering the contents of input patterns. In this paper, we therefore propose an efficient branch and bound dynamic time warping algorithm which sets the global constraints by adaptively reflecting the patterns. The experimental results show that the proposed method outperforms conventional methods in terms of the speed and accuracy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1014-1020
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• 2012

This paper focuses on the development of a supporting S/W tool that can minimize designer's manual operations and errors in metal mold design based on a 3D solid model. The scope in this work includes the offset surface modeling, the computation of the padding force, the generation of material table, the decision of hole position, the estimation of the size of raw material, which are the essential parts of press die and mold design in automotive industry. The proposed system has been developed as a plug-in type using Pro/E API and Visual C++ in order to put the system into the menu functions of Pro/E which is one major 3D CAD systems in the manufacturing industry.

• Journal of Korea Technology Innovation Society
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• v.13 no.4
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• pp.772-793
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• 2010

In this paper, author estimated economic scale of radiation usage in Korea using Input-Output table 2005 and other micro data published. This estimation focused all kind of radiation usage in whole economic activity. Estimation of economic scale is quantitative analysis for how much radiation usage increase productivity and welfare. Economic scale estimation of radiation usage in Korea 2005 is 6,297 Billion Won and it occupies 0.74% of GDP. It is smaller level compared with that of US and Japan. It is 1.5% of GDP in US (1997) and 1.2% of GDP in Japan (2005). Radiation usage in industrial sector is 5,775 Billion Won and it is 0.68% of GDP. Radiation usage in agriculture sector is 171 Billion Won and it is 0.02% of GDP. Radiation usage in medical sector is 351 Billion Won and it is 0.04% of GDP. This implied that radiation usage in industrial sector is larger than other sector. Use of medical radiology may be enlarge in the future due to population structure. The result that radiation usage occupied 0.74% of GDP arouse contribution of radiation usage in daily life. It helps people to have more understanding and public acceptance for radiation.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.627-641
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• 2012

We consider a model estimation and model selection methods for the multi-way contingency table data with non-response or missing values. We also consider hierarchical Bayesian model in order to handle a boundary solution problem that can happen in the maximum likelihood estimation under non-ignorable non-response model and we deal with a model selection method to find the best model for the data. We utilized Bayes factors to handle model selection problem under Bayesian approach. We applied proposed method to the pre-election survey for the 2004 Korean National Assembly race. As a result, we got the non-ignorable non-response model was favored and the variable of voting intention was most suitable.

• Korean Journal of Remote Sensing
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• v.15 no.1
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• pp.31-38
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• 1999

In this paper, we introduce an algorithm for the ortho-rectification of high resolution pushbroom-type satellite images. The generation of ortho-images in the ultimate level of the satellite image preprocessing which also includes systematic geocoding and precision geocoding. It is also essential for the mapping of satellite images because topotraphic maps are based on the orthographic projection. The newly developed ortho-image generation algorithm introduced in this paper is on the line of the algorithms previously developed (Shin and Lee, 1997; Shin e 1998). Various experimental results are shown in this paper. The results show that the algorithm completely eliminates the disparities in the perspectively viewed images which were caused by the terrain height. The absolute accuracy of the developed algorithm depends on the accuracy of the camera model and the digital elevation model used.

• Cartoon and Animation Studies
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• s.33
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• pp.383-402
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• 2013

In this study, we apply the facial Facial Action Coding System for coding the muscular system anatomical approach facial expressions to be displayed in response to a change in sensitivity. To verify by applying the virtual character the Duchenne smile to the original. I extracted the Duchenne smile by inducing experiment of emotion (man 2, woman 2) and the movie theater department students trained for the experiment. Based on the expression that has been extracted, I collect the data of the facial muscles. Calculates the frequency of expression of the face and other parts of the body muscles around the mouth and lips, to be applied to the virtual character of the data. Orbicularis muscle to contract end of lips due to shrinkage of the Zygomatic Major is a upward movement, cheek goes up, the movement of the muscles, facial expressions appear the outer eyelid under the eye goes up with a look of smile. Muscle movement of large muscle and surrounding Zygomatic Major is observed together (AU9) muscles around the nose and (AU25, AU26, AU27) muscles around the mouth associated with openness. Duchen smile occurred in the form of Orbicularis Oculi and Zygomatic Major moves at the same time. Based on this, by separating the orbicularis muscle that is displayed in the form of laughter and sympathy to emotional feelings and viable large muscle by the will of the person, by applying to the character of the virtual, and expression of human I try to examine expression of the virtual character's ability to distinguish.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.103-116
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• 2017

In this paper, we present the design and implementation of a large-scale qualitative spatial reasoner, which can derive new qualitative spatial knowledge representing both topological and directional relationships between two arbitrary spatial objects in efficient way using Aparch Spark SQL. Apache Spark SQL is well known as a distributed parallel programming environment which provides both efficient join operations and query processing functions over a variety of data in Hadoop cluster computer systems. In our spatial reasoner, the overall reasoning process is divided into 6 jobs such as knowledge encoding, inverse reasoning, equal reasoning, transitive reasoning, relation refining, knowledge decoding, and then the execution order over the reasoning jobs is determined in consideration of both logical causal relationships and computational efficiency. The knowledge encoding job reduces the size of knowledge base to reason over by transforming the input knowledge of XML/RDF form into one of more precise form. Repeat of the transitive reasoning job and the relation refining job usually consumes most of computational time and storage for the overall reasoning process. In order to improve the jobs, our reasoner finds out the minimal disjunctive relations for qualitative spatial reasoning, and then, based upon them, it not only reduces the composition table to be used for the transitive reasoning job, but also optimizes the relation refining job. Through experiments using a large-scale benchmarking spatial knowledge base, the proposed reasoner showed high performance and scalability.

• Industry Promotion Research
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• v.8 no.1
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• pp.111-117
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• 2023

Sampling inspection methods for quality control have been proposed a lot in the industry. However, the sampling inspection method for reliability, which is a quality over time, has been relatively less presented, and there are not many literatures that are clearly summarized. Therefore, this paper focuses on the reliability conformity test to verify that the reliability evaluation scale value of the target is satisfied during the reliability test. To this end, first, we look at the conditions that both consumers and producers can satisfy in terms of the OC curve and find out what sampling methods satisfy the desired level of producer risk and consumer risk. Next, two methods of the reliability sampling methods such as attribute and variable reliability sampling methods are examined. Specifically, the attribute reliability sampling method is a form of sampling plan where n samples are tested for a certain period of T hours and the lot is accepted if the number of failures is less than or equal to a certain number c. On the other hand, the variable reliability sampling method is a form of sampling plan where the lot is accepted if the reliability evaluation scale such as MTBF satisfies a certain standard. Both sampling plans may also use inspection tables.

• Journal of the Korean earth science society
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• v.29 no.4
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• pp.341-351
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• 2008

The purpose of this study was to investigate eighth graders' scientific method of inquiry used in their reports. We developed a framework, 'Analysis of Scientific Methods and Information Sources', with a perspective of the Nature of Science to analyze students' planning method, data analysis, and information sources. We then compared results with levels of questions to find out whether they affected students' 'Scientific Method'. In addition, we analyzed students' responses of the survey questionnaire, e.g.. how they liked Scientific Method. Results are as follows: First, 'planning method' consisted of 'consultant' and 'activities'. The 'activities' were 'experiment', 'correlational study', and 'observation' Students planned by utilizing 'consultant' more than the other. In case of planning 'activities'. most of them were 'experiment' Second, 'data analysis' consisted of 'summary', 'table', 'chart', 'graph' and so on. Students analyzed their data by using 'summary' frequently. The types of 'summary' were divided into 'simple summary' and 'relational statement' Third, 'information sources' consisted of 'computer', 'library'. and 'professional consultant' Most of the students gathered information from 'computer' Fourth, the types of 'planning method' and 'summary' were affected by the levels of questions. Fifth, some of the students reported their difficulty in 'planning method' because the collected information was less reliable, lacking, and having difficult technical terms.