• Journal of Digital Contents Society
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• v.11 no.3
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• pp.375-383
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• 2010

In developing question-answering (QA) systems, it is hard to analyze natural language questions syntactically and semantically and to find exact answers to given query questions. In order to avoid these difficulties, we propose a new style of question-answering system that automatically generate natural language queries and can allow to search queries fit for given keywords. The key idea behind generating natural queries is that after significant sentences within text documents are applied to the named entity recognition technique, we can generate a natural query (interrogative sentence) for each named entity (such as person, location, and time). The natural query is divided into two types: simple type and sentence structure type. With the large database of question-answer pairs, the system can easily obtain natural queries and their corresponding answers for given keywords. The most important issue is how to generate meaningful queries which can present unambiguous answers. To this end, we propose two principles to decide which declarative sentences can be the sources of natural queries and a pattern-based method for generating meaningful queries from the selected sentences.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.2
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• pp.18-27
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• 2000

The importance of constraints has been one of major issues in recreation for prediction of choice behavior; however, traditional conjoint choice model did not consider the effects of these variables or fail to integrate them into choice model adequately. The purposes of this research are (a) to estimate the effects of constraints in theme park choice behavior by the constraints-induced conjoint choice model, and (b) to test additional explanatory power of the additional constraints in this suggested model against the more parsimonious traditional model. A leading polling agency was employed to select respondents. Both alternative generating and choice set generating fractional factorial design were conducted to meet the necessary and sufficient conditions for calibration of the constraints-induced conjoint choice model. Th alternative-specific model was calibrated. The log-likelihood ratio test revealed that suggested model was accepted in the favor of the traditional model, and the goodness-of-fit($\rho$$^2$) of suggested and traditional model was 0.48427 and 0.47950, respectively. There was no difference between traditional and suggested model in estimates of attribute levels of car and shuttle bus because alternatives were created to estimate the effects of constraints independently from mode related variables. Most parameters values of constraints had the expected sign and magnitude: the results reflected the characteristics of the theme parks, such as abundance of natural attractions and poor accessibility in Everland, location of major fun rides indoor in Lotte World, city park like characteristics of Dream Land, and traffic jams in Seoul. Instead of the multinomial logit model, the nested logit model is recommended for future researches because this model more reasonably reflects the real decision-making process in park choice. Development of new methodology too integrate this hierarchical decision-making into choice model is anticipated.

• Journal of Korean Society of Rural Planning
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• v.22 no.4
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• pp.183-194
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• 2016

Rural house came into the rapid change through the process of modernization and Saemaul movement in the past. This change continue to the current era, there is a such exotic forms and indiscriminate development of new house and Saemaul housing and existing conventional farmhouse in rural area. Such a phenomenon, ultimately creating disharmony in traditional environment of rural. In this respect, reflecting the location characteristics of the region which is based on the regional characteristics and unique model of rural housing, it is absolutely required for the development of rural housing customized to fit the diversity of modern. With that background, the purpose of the research is to try and find out the changes in rural houses and the transforming characteristics. To achieve this research purpose, this research selected a specialized magazine for architecture. Then, it identified contents which has specific keyword. lastly, it analyze type and contents of house in rural area from selected article. This process make up the rural housing for effective utilization. The result showed that the type of economic activity and residents information directly show the character of the members who located in the new homes after retuning to farming. The polarization of structure was clearly visible by the building time. And, propensity to western-style of major components was very high such as shape and form of housing. However, it was found to prefer to reflect traditional aesthetics in the components of the housing partially. Therefore, more research is needed to reflect of the results of a survey. Also, analyzing the characteristic of rural house's element and suggesting ways to take advantage in order to present suitable element of modern rural house.

• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.3
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• pp.205-214
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• 2016

The objective of this study was to construct a forage rye (FR) dry matter yield (DMY) estimation model based on climate data by locations in South Korea. The data set (n = 549) during 29 years were used. Six optimal climatic variables were selected through stepwise multiple regression analysis with DMY as the response variable. Subsequently, via general linear model, the final model including the six climatic variables and cultivated locations as dummy variables was constructed as follows: DMY = 104.166SGD + 1.454AAT + 147.863MTJ + 59.183PAT150 - 4.693SRF + 45.106SRD - 5230.001 + Location, where SGD was spring growing days, AAT was autumnal accumulated temperature, MTJ was mean temperature in January, PAT150 was period to accumulated temperature 150, SRF was spring rainfall, and SRD was spring rainfall days. The model constructed in this research could explain 24.4 % of the variations in DMY of FR. The homoscedasticity and the assumption that the mean of the residuals were equal to zero was satisfied. The goodness-of-fit of the model was proper based on most scatters of the predicted DMY values fell within the 95% confidence interval.

• Ocean and Polar Research
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• v.26 no.4
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• pp.559-565
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• 2004

Total magnetic field measurements were performed to study paleomagnetism of three seamounts (OSM7, OSM8-1, and OSM8-2) to the northwest of the Marshall Islands in the western Pacific. The study area is located at the Ogasawara Fracture Zone which is a boundary between the Pigafetta and East Mariana basins. The magnetic parameters and paleopoles of three seamounts were derived from inversion of the measured magnetic field. The goodness-of-fit ratio of OSM7 is too low to be included to the estimation of parameters. The complex magnetic anomalies of center, scarcity of flank rift zones and steep slope at OSM7 suggest that the multiple intrusions of magma converge into the center of volcanic edifice. Inclination calculated from the magnetic anomalies of OSM8-1 and OSM8-2 is $-41.2^{\circ}$, and the paleolatitude calculated from the inclination is $23.6^{\circ}S$. The corresponding paleopoles for OSM8-1 and OSM8-2 are $(24^{\circ}42'W,\;48^{\circ}54'N)\;and\;(18^{\circ}18'W,\;48^{\circ}30'N)$, respectively. In comparison with the apparent polar wander path (APWP) of the Pacific plate, the paleopoles are close to 129-Ma pole. The paleopoles and paleolatitudes of OSM8-1 and OSM8-2 suggest that they were formed at similar time and location. The seamounts have drifted northward about $41^{\circ}$ from the paleolatitude to present latitude of seamounts.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.136-150
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• 2008

Many studies have been carried out for automatic extraction of building by LiDAR data or airphoto. Combining the benefits of 3D location information data and shape information data of image can improve the accuracy. So, in this research building recognition algorithm based on contour was used to improve accuracy of building recognition by LiDAR data and elaborate building boundary recognition by airphoto. Building recognition algorithm based on contour can generate building boundary and roof structure information. Also it shows better accuracy of building detection than the existing recognition methods based on TIN or NDSM. Out of creating buffers in regular size on the building boundary which is presumed by contour, this research limits the boundary area of airphoto and elaborate building boundary to fit into edge of airphoto by double active contour. From the result of this research, 3D building boundary will be able to be detected by optimal matching on the constant range of extracted boundary in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.139-144
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• 2019

For recent decades, Non-volatile Memory (NVM) technologies have been drawing a high attention both in industry and academia due to its high density and short latency comparable to that of DRAM. However, NVM devices has write endurance problem and thus the current data structures that have been built around DRAM-specific features including unlimited program cycles is inadequate for NVM, reducing the device lifetime significantly. In this paper, we revisit a red-black tree extensively adopted for data indexing across a wide range of applications, and make it to better fit for NVM. Specifically, we observe that the conventional red-black tree wears out the specific location of memory because of its rebalancing operation to ensure fast access time over a whole dataset. However, this rebalancing operation frequently updates the long-lived nodes, which leads to the skewed wear out across the NVM cells. To resolve this problem, we present a new swapping wear-leveling red-black tree that periodically moves data in the worn-out node into the young node. The performance study with real-world traces demonstrates the proposed red-black tree reduces the standard deviation of the write count across nodes by up to 12.5%.

• Journal of the Korean Home Economics Association
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• v.49 no.3
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• pp.113-121
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• 2011

This study developed a method of calculating dynamic wearing ease (DWE) to make patterns for coverall work clothing. The DWE was measured from 3D body scan data of women in their 20's (n = 10). The body postures adopted for measuring the DWE were sitting and deep bending postures. Three types of experimental patterns (A, B, C) were developed. The DWE was applied at the waist and hip lines of the pattern. The location and size of the DWE varied from one pattern to another. For pattern B, DWE of 8.8cm was applied at the back of the waistline. For pattern C, 5.3cm was applied at the waist for the center back line, and 3.5cm was applied at the under hip level. The comfort of the experimental clothing was evaluated in six body postures. The results showed that patterns B and C were comfortable at the crotch, shoulders, and arm pits. Pattern C was comfortable at the hip and crotch areas in the arms lifting-up posture and the stepping-up posture. The appearance and fit of the experimental clothing were evaluated by the panels. Patterns B and C fitted better than pattern A at the abdomen. The results suggest that DWE should be applied at the waist and hip levels for making coverall work clothing patterns.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.3
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• pp.127-136
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• 2003

In this paper, we propose a robust object tracking algorithm based on model and edge, using deformed template and Level-Set theory. The proposed algorithm can track objects in case of background variation, object flexibility and occlusions. First we design a new potential difference energy function(PDEF) composed of two terms including inter-region distance and edge values. This function is utilized to estimate and refine the object shape. The first step is to approximately estimate the shape and location of template object based on the assumption that the object changes its shape according to the affine transform. The second step is a refinement of the object shape to fit into the real object accurately, by using the potential energy map and the modified Level-Set speed function. The experimental results show that the proposed algorithm can track non-rigid objects under various environments, such as largely flexible objects, objects with large variation in the backgrounds, and occluded objects.

• Journal of the Korean Society of Costume
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• v.62 no.7
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• pp.205-219
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• 2012

The purpose of this study is to develop comfortable patient gown for spinal surgery patients. The results of the survey confirmed inconveniences and problems with the current gown, and a new gown style was recommended. The recommended changes addressed design, pattern, and materials. The final experimental design for the top of the new patient gown is a wrap style that moves the center opening of the gown to the side and enables patients to control the length of the sleeves by attaching two snaps. The cutting line is aligned with the back brace location, and the issue of repeated bunching of the gown material by the brace was solved by substituting 100% knitted structure fiber. The sleeve length can be adjusted with snaps on the sleeve cap and hem. When lifting up the gown for treatment on specific areas of the body, doctors open the edge of the right side of the gown in order to lift up the top. The bottom of the new patient gown was made from 100% cotton knitted structure fiber, and it enables patients to control the length of pants by attaching two snaps on the side. The results of an on-site dressing suitability evaluation and a flexibility evaluation with respect to dressing/undressing indicated that the new patient gown was much better received than the existing gowns (A and B). Our hypothesis regarding new patient gowns was supported in both the fit and design categories.