• Journal of Korea Multimedia Society
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• v.8 no.11
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• pp.1556-1564
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• 2005

Various optimization techniques are deployed in the compilation process of a source program for improving the program's execution speed and reducing the size of the source code. Of the optimization pattern matching techniques, the string pattern matching technique involves finding an optimal pattern that corresponds to the intermediate code. However, it is deemed inefficient due to excessive time required for optimized pattern search. The tree matching pattern technique can result in many redundant comparisons for pattern determination, and there is also the disadvantage of high cost involved in constructing a code tree. The objective of this paper is to propose a table-driven code optimizer using the DFA(Deterministic Finite Automata) optimization table to overcome the shortcomings of existing optimization techniques. Unlike other techniques, this is an efficient method of implementing an optimizer that is constructed with the deterministic automata, which determines the final pattern, refuting the pattern selection cost and expediting the pattern search process.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1140-1145
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• 2003

Image normalization is one of the important areas in pattern recognition. Also, log-polar images are useful in the sense that their image data size is reduced dramatically comparing with conventional images and it is possible to develop faster pattern recognition algorithms. Especially, the log-polar image is very similar with the structure of human eyes. However, there are almost no researches on pattern recognition using the log-polar images while a number of researches on visual tracking have been executed. We propose an image normalization technique of log-polar images using momentums applicable for affine-invariant pattern recognition. We handle basic distortions of an image including translation, rotation, scaling, and skew of a log-polar image. The algorithm is experimented in a PC-based real-time vision system successfully.

• Journal of Nutrition and Health
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• v.54 no.3
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• pp.247-261
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• 2021

Purpose: This study was conducted to identify the association between insulin resistance and the major dietary patterns of Korean adults. Methods: This study used data from the 2015 Korea National Health and Nutrition Examination Survey. The subjects were 2,276 adults aged 19 to 64 years old. Based on the food frequency questionnaire data, 112 food items were reclassified into 30 food groups. The principal component analysis method was applied to identify major dietary patterns. We used homeostatic model assessment of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) value as indicators of insulin resistance. The association between major dietary patterns and insulin resistance was investigated using logistic regression analysis. Results: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: 'healthy Korean meal pattern', 'western meal pattern', and 'white rice, alcohol, meat pattern'. As the 'white rice, alcohol, meat pattern' score increased, significant increasing trends for fasting glucose concentration and HOMA-IR and a significant decreasing trend for QUICKI were observed after adjusting for age and sex. The odds ratio of insulin resistance according to the 'healthy Korean meal pattern' and the 'western meal pattern' were not statistically significant. the 'white rice, alcohol, meat pattern' showed a significant positive association with the risk of insulin resistance after adjusting for covariates. Conclusion: These results suggest that the 'white rice, alcohol, meat pattern' is positively associated with the risk of insulin resistance. The white rice, alcohol, meat pattern was related to the high consumption of alcohol together with rice or meat. This pattern was also associated with the high intake of sodium and low intakes of vitamin C, calcium, potassium, and dietary fiber. To confirm the association, further longitudinal studies are required.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1547-1557
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• 2002

The purpose of this study is to find the profitable clothes design of middle-aged men by examining visual effects in physical design. The methode of study is experimentation. The sample of this study is people who live in Kwangiu, Korea and 20-50 age's 719. The difference of physical design effect by arrangement, pattern and the shape of body. There are partly resemblance difference in physical design visual effect by the shape of body and clothes design(arrangement and pattern)In weak type, single suit with striped pattern and double suit with check pattern make the upper body look short. Otherwise, double suit with striped pattern have man look tall. In standard type, single arrangement suit with striped pattern make the lower half of body long, so make man look tall. And double arrangement suit with striped pattern have man look tall. The suit without pattern have one's shoulder look wide. In pyknic type, striped pattern make the lower half of one's body look long. But single arrangement with striped pattern have the upper body look big. sing1e suit with striped pattern make lower half of body look long and check pattern make it look short. Totally, arrangement, and pattern are very important clothes due to give an effect on whole visual effect man's suit. Also, these dues were felt differently by each types of body. So, it is confirmed that the type of body is important fluent to make people perceive.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.259-266
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• 2010

Forest fire occurrence in Korea is highly related to human activities and its spatial distribution shows a strong spatial dependency with cluster pattern. In this study, we analyzed spatial distribution pattern of forest fire with point pattern analysis considering spatial dependency. Distributional pattern was derived from Ripley's K-function according to causes and distances. Spatially clustered intensity was found out using Kernel intensity estimation. As a result, forest fires in Korea show clustered pattern, although the degrees of clustering for each cause are different. Furthermore, spatial clustering pattern can be classified into two groups in terms of degrees of clustering and distance. The first group shows the national-wide cluster pattern related to the human activity near forests, such as human-induced accidental fire in mountain and field incineration. Another group shows localized cluster pattern which is clustered within a short distance. It is associated with the smoker fire, arson, accidental by children. The range of localized clustering was 30 km. Beyond of this range, the patterns of forest fire became random distribution gradually. Kernel intensity analysis showed that the latter group, which have localized cluster pattern, was occurred in near Seoul with high densed population.

• Laser Solutions
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• v.13 no.2
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• pp.1-5
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• 2010

A high speed laser texturing method that relies on laser scanner conditions, to form pattern shapes with micro-narrow surface detail such as dotted line features is demonstrated and analyzed. For example, this method may be used to piston ring and gear part for automotive. Data on friction characteristics of two laser patterns employed for STD61 steel will be shown. Comparison of pattern depths obtained by repetition overlapping process with laser scanner to the results on friction coefficient will be provide. It will be shown that friction characteristic in dotted line patterns can significantly depend upon interaction with the lubrication and laser pattern conditions. Laser pattern processing into a shallow depth provides only slight improvement in friction, while work into a deep shape indicates a significant improvement.

• Korean Journal of Human Ecology
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• v.10 no.4
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• pp.379-390
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• 2001

The purpose of this study is to investigate the fitness according to drafting method of the block patterns for women in Korea. The major findings of this study are as follows: 1. According to comparative analysis of required measurements, two measurements of back length and bust girth are used in Proportional Drafting Method (Munhwa). In case of Compromise Drafting Methods are used across chest, across back, bust length, bust width, full length in front, across shoulder and shoulder length in addition to back length and bust girth. The type of Armstrong as a Short Measure Drafting Method uses 10 measurements for the drafting the bodice. 2. While Esmod block pattern arid Armstrong's block pattern are the lightest in full width and other widths. Rasara block pattern is the most ample. In Lee, Myung-hee's block pattern and Lee, Hyung-sook's block pattern, amounts of drooping are decided $3{\sim}4cm$, but drooping amounts of other block patterns are decided corresponding to real measurements. While cap height in Esmod and Armstrong's sleeve patterns are directly measured Armhole length of the block pattern, cap height of other sleeve patterns are used armhole depth and cap height length as well as armhole length. 3. When analyzing to indirect measurements, Esmod block pattern shows the least different between full length of block pattern and that of body form. Munhwa block pattern and Kim, Hyosook's block pattern are mostly same to body form back length. However all of the block patterns are sheller than body form length. In case of Suh, Wansuk's block pattern, across back and across chest are same size, but other block patterns show difference between across back and across chest. Most block patterns' neck width in front and bach bodice are almost same. Front neck width is generally bigger than back neck width in some cases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5015-5022
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• 2010

Most of the existing pattern mining techniques are capable of searching patterns according to the continuous change of the spatial information of an object but there is no constraint on the spatial information that must be included in the extracted pattern. Thus, the existing techniques are not applicable to the optimal path search between specific nodes or path prediction considering the nodes that a moving object is required to round during a unit time. In this paper, the precision of the path search according to the spatial hierarchy is analyzed using the Spatial-Temporal Optimal Moving Pattern(with Frequency & Weight) (STOPM(FW)) algorithm which searches for the optimal moving path by considering the most frequent pattern and other weighted factors such as time and cost. The result of analysis shows that the database retrieval time is minimized through the reduction of retrieval range applying with the spatial constraints. Also, the optimal moving pattern is efficiently obtained by considering whether the moving pattern is included in each hierarchical spatial scope of the spatial hierarchy or not.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.31-31
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• 2017

On farm evaluation for the control of airborne diseases like FMD and flu virus has been done in past but control of disease in process of transportation of livestock and manures is still needed. The objective of this study was to predict a common pattern of livestock vehicles movement. The analysis were done on GPS data, collected from drivers of livestock vehicles in Jeju Island, South Korea in year 2012 and 2013. The GPS data include the coordinates of moving vehicles according to time and dates, livestock farms and manure keeping sites. 2012 year data was added to ArcGIS and different tools were used for predicting common vehicle moving pattern. The common pattern of year 2012 were determined and considered as predicted common pattern for year 2013. To compare with actual pattern of year 2013 the same analysis was done to find the difference in 2012 and 2013 pattern. When the manure keeping sites and livestock farms were same in both years, as a result common pattern of 2012 and 2013 were similar but difference were found in patterns when the manure keeping sites and livestock farms were changed. In future for more accurate results and to predict the accurate pattern of vehicles movement, more dependent and independent variables will be required to make a suitable model for prediction.

• Korean Journal of Social Welfare
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• v.65 no.4
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• pp.195-220
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• 2013

The purpose of this study is to discover the context and pattern of turnover social workers have experienced. To achieve this purpose, researchers collected data from in-depth interviews with seven social workers who have experiences of turnover and analysed the data using context-pattern analysis method. Research findings are composed of individual context-pattern analysis and integrated context-pattern analysis. In individual context-pattern analysis, researchers mixed time-dimension(before turnover/on the process/after turnover) and level-dimension(experienced phenomenon/meaning of experiences/context connected with phenomenon and meaning) and analysed the context of every stages and serial pattern. Also, we connected with each contexts and patterns and integrated the context-pattern of turnover. Integrated context-pattern structure is divided for four areas; organization before turnover, organization after turnover, social worker as a stakeholder of turnover, and network of social worker. Based on the results of the study, administrative recommendations were suggested in order to manage the turnover of social workers in social work fields.