• Journal of the Korean Statistical Society
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• 제27권4호
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• pp.507-514
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• 1998

The minimum distance estimation based on the L$_2$ distance between a model density and a density estimator is studied from M-estimation point of view. We will show that how a model density and a density estimator are incorporated in order to create an M-estimation function. This method enables us to create an M-estimating function reflecting the natures of both an assumed model density and a given set of data. Some new types of M-estimation functions for estimating a location and scale parameters are introduced.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.86-91
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• 2006

Companies had to be more intelligent in order to survive in the rapidly changing environments. We need to make a decision to build the Information System to support their decision making. But, how can we know the new system would be better than the old system in making us intelligent? The answer is we can do it with the concept of Intelligence Density. In this study, Intelligence Density concept will be introduced, and the way how it can be applied to the information system will be presented. I think Intelligence Density should be studiedmoretohelpmanagersmakerightdecisions.

• 천문학회지
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• 제29권spc1호
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• pp.39-40
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• 1996

Using the Keck 10 m telescope data with the HIRES spectrograph, we analyzed the evolution of Lyman$\alpha$ forest clouds at z > 2 down to the HI column density $10^{12.8}cm^{-2}$. The number density per unit column density does not change with redshifts at lower HI cloumn density ($N_{HI} < 10^{14}cm^{-2}$), while the forest clouds at higher column density disappear rapidly. The cutoff b value, the thermal temperature indicator, increases as redshift decreases. The correlation strength seems to be stronger as redshift decreases.

• 전기학회논문지
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• 제56권10호
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• pp.1826-1835
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• 2007

In this paper, we present a new approach for automatic detection and tracking for multiple targets. We combine a highest probability data association(HPDA) algorithm for target detection with a particle filter for multiple target tracking. The proposed approach evaluates the probabilities of one-to-one assignments of measurement-to-track and the measurement with the highest probability is selected to be target- originated, and the measurement is used for probabilistic weight update of particle filtering. The performance of the proposed algorithm for target tracking in clutter is compared with the existing clustering algorithm and the sequential monte carlo method for probability hypothesis density(SMC PHD) algorithm for multi-target detection and tracking. Computer simulation studies demonstrate that the HPDA algorithm is robust in performing automatic detection and tracking for multiple targets even though the environment is hostile in terms of high clutter density and low target detection probability.

• 대한기계학회논문집A
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• 제30권10호
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• pp.1242-1248
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• 2006

Densification behavior of nanocrystalline titania powder was investigated under cold compaction. Experimental data were obtained under triaxial compression with various loading conditions. Lee and Kim proposed the Cap model by developing the parameters involved in the yield function of general Cap model and volumetric strain evolution under cold isostatic pressing. The parameters in the Drucker/Prager Cap model and the proposed model were obtained from experimental data under triaxial compression. Finite element results from the models were compared with experimental data for densification behavior of nanocystalline ceramic powder under cold isostatic pressing and die compaction. The proposed model agreed well with experimental data under cold compaction, but the Drucker/Prager Cap model underestimated at the low density range. Finite element results, also, show the relative density distribution of nanocystalline ceramic powder compacts is severe compared to conventional micron powder compacts with the same averaged relative density.

• Journal of Forest and Environmental Science
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• 제31권4호
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• pp.288-296
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• 2015

In many very high density cities in Asia in which there is limited area to expand, growth is forced upward as well as outward. Densely packed detached houses and low-rise buildings are replaced by lower density high-rises, leaving open spaces between high-rise buildings. Through this process, areas that formerly did not have much green space gain valuable green spaces, and new ecological corridors and patches are created. In this study, the demographic and housing-type changes of Wonju City were delineated using land use maps, aerial images, census data, and other administrative data. Green area changes were calculated using land cover data derived from multi-year Landsat TM satellite imagery. The values were then compared against demographic and housing-type changes for each administrative unit. The overall results showed a decrease of forested area in the city and an increase of developed area. Urban sprawl was clearly visible in many of the suburban areas. However, as expected, we also detected areas in which greenness did not decrease when the population greatly increased. These areas were characterized by residential building complexes of ten or more stories. If an equal number of housing units had been built as detached houses, these areas would not have kept as much green space. Our research result showed that high-density and high-rise residential structures can offer an alternative means to protect or create urban green spaces in high-density urban environments.

• 한국치위생학회지
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• 제15권1호
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• pp.63-71
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• 2015

Objectives: The purpose of the study is to investigate the relationship between bone mineral density and remaining teeth in Korean adults. Methods: Using National Health and Nutrition Examination Survey(KNHANES) 5th Year 1(2010), 1,985 adults over 50 years old having bone mineral density test were selected. Male adults were 883, and female adults were 1,102. The raw data consisted of general characteristics of the subjects, bone density data, and oral examination data. The questionnaire consisted of general health survey, laboratory examination study, and nutrition study. Data were analyzed using SPSS 18.0 program for multiple regression analysis, ANOVA, t-test. The variables included general characteristics of the subjects, health behavior, diet habit, and oral health behavior. General characteristics consisted of gender, age, residence area, education level, marital status, monthly income, and vocation. Health behavior consisted of smoking, alcohol drinking, body mass index(BMI), physical activity, and mental health. Diet habit consisted of frequency of meal, milk, coffee, and calcium ingestion. Oral health behavior consisted of frequency of tooth brushing, use of oral health care devices, and oral examination. Systemic diseases were measured by the questionnaire for hypertension, diabetes mellitus, and hyperlipidemia. Bone density was measured in T-score of femoral bone, neck of femur, and lumbar vertebrae. Bone density was classified into normal($T-score{\geq}-1.0$), osteopenia(-2.5 < T-score < -1.0), and osteoporosis ($T-score{\leq}-2.5$). The remaining teeth were measured by the differences between normal teeth and missing teeth. Results: Smoking and age are the most influencing factors on the number of remaining teeth and bone density(p<0.01)(p<0.05). Those who had higher bone density, younger age, and nonsmoker significantly had more remaining teeth. Those who were men, diabetic, lowly educated women, and low birth weighted persons tended to have less number of teeth(p<0.01). Conclusions: The study suggested that there were significant differences between men and women according to the oral health management behavior and systemic disease control. Proper management of the oral health and good quality of bone mineral density can reserve the remaining teeth through the whole life.

• Journal of Forest and Environmental Science
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• 제30권3호
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• pp.259-266
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• 2014

Stand Density Diagrams (SDD) are average stand-level models which graphically illustrate the relationship between yield, density and mortality throughout the various stages of forest development. These are useful tools for designing, displaying and evaluating alternative density regimes in even-aged forest ecosystems to achieve a desired future condition. This contribution presents an example of a SDD that has been constructed for teak forests of Karnataka in southern India. The relationship between stand density, dominant height, quadratic mean diameter, relative spacing and stand volume is represented in one graph. The relative spacing index was used to characterize the population density. Two equations were fitted simultaneously to the data collected from 27 sample plots measured annually for three years: one relates quadratic mean diameter with stand density and dominant height while the other relates total stand volume with quadratic mean diameter, stand density and dominant height.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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• pp.94-97
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• 2000

We introduce an approximate fuzzy clustering method, which is simple but computationally efficient, based on density functions in this paper. The density functions are defined by the number of data within the predetermined interval. Numerical examples are presented to show the validity of the proposed clustering method.

• 대한지리학회지
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• 제43권1호
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• pp.117-133
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• 2008

개발밀도는 현대 도시 관리의 주요 관심사임에도 불구하고 이론 실증적으로 분석할 수 있는 지원 체계가 미비하다. 본 연구에서는 셀룰러 오토마타 기반의 도시 모델링 방법론을 확장하여 개발밀도를 고려한 도시 토지이용 변화 모델을 개발하고 그 타당성을 평가하고자 한다. 제안된 모델은 구조적인 측면에서 개발밀도를 명시적으로 고려할 분만 아니라 국지적인 밀도 변화를 직접적으로 추정한다. 개발된 모델을 1980년대 초$\sim$2000년대 초의 서울 도심부 토지이용 변화에 적용하였으며, 그 결과를 다양한 방법을 통해 검토하였다. 검토 결과 제안된 모델은 토지의 용도 변화 뿐만 아니라 밀도 변화에도 유의미하게 적용될 수 있는 것으로 평가되었다. 하지만 제안된 모델은 데이터 구득의 한계로 인해 공간적, 시간적 제약을 가지게 되었다. 더불어 모델의 보정 및 타당성 검토 방법론은 본 연구에서 충분히 검토되지 못하였으며, 향후 지속적으로 연구될 필요가 있다.