• Title/Summary/Keyword: 군집형

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Genetic Relationship Among Lycoris Species Using RAPD Analysis, the Native Distribution and Flowering Characteristics (Lycoris 속의 RAPD 분석과 자생지 분포 및 개화특성에 따른 유연관계)

  • Cha, Jae-Young;Jung, Yen-Ok;Shin, Sang-Min;Kang, Yun-Kyung;Park, Jong-Kun;Park, Nou-Bog
    • Journal of Life Science
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    • v.16 no.7 s.80
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    • pp.1119-1122
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    • 2006
  • Ten species of Lycoris was selected for establishment of phylogenetic relationships using random amplified polymorphic DNA (RAPD) analysis, the native distribution and flowering characterestics. On the basis of the dendrogram constructed with the similarity coefficients, 10 Lycoris species were divided into two clusters. L. sprengeri and L. incannta were showed very high similarity in the RAPD analysis, same flowering time and flower color as pink. The leaf of L. squamigera. L. sanguinea, L. koreana, L. sprengeri and L. incanata emergenced in spring. The L. squamigera and L. sanguinea were showed high similarity in same cluster. Also L. koreana, L. sprengeri and L. incanata were showed high similarity in same cluster. The flower of L. radiata, L. radiata var pumila, L. albiflora and L. traubii was spider. These species was showed very low similarity in another Lycoris species.

Development and Application of Skin Age Prediction Model Based on Skin Measurement Data According to Age of 20's to 40's ages of Korean Women (한국 여성의 연령에 따른 피부 측정 데이터 기반 20대 ~ 40대 피부 나이 예측 모형 개발 및 적용)

  • Maeng, Jihye;Nam, Gaewon
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.48 no.1
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    • pp.25-32
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    • 2022
  • In this study, basic skin characteristics data were collected by measuring skin hydration, skin melanin, skin redness, and skin torsion elasticity from Korean women in from 20's to 40's ages, and then, age and correlation analysis were conducted. This was used to create a skin index, and cluster analysis was performed to classify the groups into 4 clusters, and the skin characteristics of each cluster were confirmed. Then, two prototypes were used for two weeks to confirm the improvement effect on skin moisture, skin redness, and skin dead mass reduction, and then analyzed which product was more effective in which cluster of subjects participated in the skin characteristics test. As a result of the study, the possibility of preparing for the customized cosmetics market was confirmed by applying the skin index and cluster analysis results to product efficacy evaluation.

Selecting Optimal Locations for Bicycle Lanes to Prevent Accidents in Seoul (서울특별시 자전거 안전사고 예방을 위한 자전거 도로 최적 입지 선정: 자전거 전용도로 및 전용차로를 중심으로)

  • Ji-eun Kim;Sumin Nam;ZoonKy Lee
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.45-54
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    • 2023
  • Seoul's public bicycle system, 'Ttareungyi,' introduced in 2015, has achieved an annual ridership of 40 million in 2022. Similarly, electric scooters, a type of personal mobility device, surpassed one million riders in 2020 due to various sharing platforms. However, the major roadways for these new transportation, bicycle lanes, are notably insufficient compared to other forms of transport. Hence, this study proposes an optimal location selection method for bicycle lanes in Seoul to prevent accidents and enhance bicycle ride safety. The location selection process prioritizes road safety concerning bicycle accident risk. Using regression models, high-risk areas for bicycle accidents are identified. Cluster analysis categorizes these areas into six clusters, each suggesting suitable types of bicycle lanes based on cluster-specific characteristics. We hope that this study will contribute to the improvement of Seoul's transportation environment, including the expansion of dedicated bicycle lanes and lanes for personal mobility devices.

A Study on Consumer Confidence, Satisfaction, and Repurchase Intention on Convenience Store Lunch Boxes by Food-related Lifestyle Type

  • Bok, Mi-Jung;Hong, Eun-Sil
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.157-164
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    • 2022
  • This study was to analyze consumer confidence, satisfaction and repurchase intention after categorizing food-related lifestyle among 488 consumers who had experience purchasing convenience store lunch boxes. The data were analyzed with PASW 18.0 using frequency analysis, k-means cluster analysis, crosstabs analysis and one-way ANOVA. According to findings, first of all, types of food-related lifestyle are divided into 4 groups: a type of eating out(11.7%), a type of convenience seeking(18.3%), a type of food indifference(15%), a type of dietary interest(55%). Secondly, the types of food-related lifestyle showed statistically significant difference gender, age, marital status, education, monthly average household income, monthly average allowance, job, monthly average number of lunch box buying, lunch box purchase time zone and average one cost of lunch box buying of socio-economic variables. Thirdly, convenience seeking and dietary interest type showed the highest in consumer confidence and dietary interest type showed the highest level of satisfaction and repurchase intention.

Product Life Cycle Based Service Demand Forecasting Using Self-Organizing Map (SOM을 이용한 제품수명주기 기반 서비스 수요예측)

  • Chang, Nam-Sik
    • Journal of Intelligence and Information Systems
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    • v.15 no.4
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    • pp.37-51
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    • 2009
  • One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self-organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

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Effect of Exercise on Muscle Recovery of Sciatic Nerve Injured Rats (궁둥신경 손상을 유발한 흰쥐에서 운동이 근육재생에 미치는 영향)

  • Ro, Hyo-Lyun
    • Proceedings of the KAIS Fall Conference
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    • 2010.05b
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    • pp.855-858
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    • 2010
  • 이 연구의 목적은 흰쥐의 궁둥신경의 손상을 준 뒤 달리기운동을 시켜 운동이 근육재생에 효과가 있는지를 밝힐 목적으로 시행하였다. 수컷 Sprague-Dawley계 흰쥐의 궁둥신경을 압궤손상을 준후, 하루 60분 씩 주 5회 운동을 시켰다. 궁둥신경 압궤손상 후 12일(5일간 운동), 19일(10일간 운동), 26일(15일간 운동), 33일(20일간 운동 및 61일(40일간 운동)에 흰쥐를 희생시켜 장딴지근육을 절취하여 냉동절편을 만들었으며 중간세사인 desmin과 vimentin에 대한 면역조직화학적 염색방법을 시행하였고 NADH-TR을 이용한 효소조직화학적 방법으로 뼈대근육의 변성 등을 관찰하였다. 중간세사단백 중 desmin은 근육섬유의 변성 및 재생과정 모두에서 발현되며 vimentin은 재생과정에서만 발현되었다. 대조군보다 실험군에서 desmin과 vimentin의 면역 반응성이 높았고, 실험군의 근육섬유들은 손상 후 61일째에 횡단면에서 각을 갖고 있어 정상 근육섬유임을 입증해 주었으나 대조군의 근육섬유는 정상으로 회복되지 않은 둥근 근육섬유가 관찰되었다. 19일째의 NADH-TR반응에서 대조군에서는 근육 섬유형 군집(fiber type grouping)으로 인해 diformazan 과립이 뭉쳐져 있음을 볼 수 있으나 실험군에서는 점점 diformazan 과립이 고르게 분포됨을 볼 수 있었다. 재신경지배가 일어 날 때 나타나는 표적근육섬유(target fiber)는 NADH-TR반응에서 26일 실험군의 일부 근육섬유에서 처음으로 관찰되었다. 61일째 NADH-TR반응에서 대조군은 아직도 diformazan 과립이 근육섬유성 군집을 보였으나 실험군에서는 정상군과 다름없는 염색성이 관찰되었다. 이상의 결과로 흰쥐 궁둥신경 압궤손상 후 트레드밀 달리기 운동이 흰쥐 다리 뼈대근육의 중간세사발현에 효과가 있다고 생각된다.

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Morphometric Analysis of Zostera marina L. Found in Various Habitats Along the Eastern Coast of Korea (동해안에 자생하는 거머리말(Zostera marina L.)의 생육지 분포에 따른 형태 분석)

  • 권천중;이상용;최청일
    • Korean Journal of Environmental Biology
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    • v.20 no.1
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    • pp.66-72
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    • 2002
  • The intraspecific variability, habitats, and morphological characteristics of eelgrass (Zostera marina L.) along the eastern coast of Korea were examined during June to August 1998. Morphological characteristics including shoot height, leaf length, leaf width, number of leaf veins, and shape of leaf apex were measured, and eelgrass habitats were analyzed using character correlation, principal components and cluster analyses. The morphological characteristics varied with the habitat types and water depth. Eelgrass beds distributed mostly in lagoons, ports and bays along the east coast of the Korean peninsula. The quantitative morphological features that enabled recognition of the two phonetic groups were short- narrow and long-broad leaf types. Leaf apex in particular varied with the habitat characteristics.

Estimation of Short-Duration Rainfall Quantile Intensity-Duration-Frequency curve using down-scaling in North Korea (하향 스케일링을 이용한 북한 지역의 단기 IDF곡선 추정)

  • Jung, Younghun;Joo, Kyungwon;Kim, Sunghun;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.249-249
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    • 2020
  • 수공구조물을 설계하기 위해서는 다양한 지속기간에 대한 설계수문량을 추정해야 한다. 국내의 경우도 기후변화로 인한 이상기후의 발생으로 1~2시간 동안 강우강도가 큰 집중호우가 발생하여 도시홍수를 발생시키며 직접 또는 간접적으로 피해를 주고 있다. 특히 북한 지역은 강우관측소가 존재하지 않은 지역이 많아 수공구조물 설계에 필요한 설계수문량을 추정하기에 많은 어려움이 있다. 본 연구에서는 하향스케일링(down-scaling)을 이용하여 북한 지역의 24시간 이내의 확률강우량을 추정하고자 한다. 이를 위하여 미계측 유역인 화천댐 상류유역의 지역빈도해석과 군집분석을 수행하여 수문학적 동질성을 확보하였고, 한강유역을 4개의 동질지역으로 구분하였다. 스케일 성질은 동일한 분포형을 가정하므로 수문학적 동질성이 확보된 기준 지속기간의 자료로부터 임의이 지속기간에 대한 확률강우량 추정이 가능하다. 따라서 북한지역의 짧은 지속기간에 대한 확률 강우량 추정을 위하여 동일한 지역 내의 지역 스케일 지수와 스케일 인자를 이용하여 하향스케일링을 적용할 수 있으며, 단기 혹은 장기에 해당하는 지속기간에 대한 확률강우량을 추정할 수 있다.

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The Study on the Lava tree-molds in Jeju Island (제주도의 용암수형에 관한 연구)

  • Kim, Byoung-Woo
    • Journal of the Speleological Society of Korea
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    • no.87
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    • pp.1-7
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    • 2008
  • Jeju-do is an oval-shape volcanic island spanning 73km east to west and 31km north to south. The 1,950meter high, Mt. Halla is the centerpiece of unique landscape of Jeju Island, Sloping gently downward toward the coastline. The most of lava tree-molds are appeared at the below of 300m on Mt. Halla. There are many lava tree-molds in Weullim-ri, Hallim-eup. Vertical tree-molds, recumbent tree-molds are distributed widely in Hallim-eup area. By the observation of shape and structure, lava tree-molds can be classified into, recumbent tree-molds and capture tree-molds, fragmental tree-molds, compounded tree-molds, vertical tree-molds.

Discretization of Continuous-Valued Attributes considering Data Distribution (데이터 분포를 고려한 연속 값 속성의 이산화)

  • Lee, Sang-Hoon;Park, Jung-Eun;Oh, Kyung-Whan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.391-396
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    • 2003
  • This paper proposes a new approach that converts continuous-valued attributes to categorical-valued ones considering the distribution of target attributes(classes). In this approach, It can be possible to get optimal interval boundaries by considering the distribution of data itself without any requirements of parameters. For each attributes, the distribution of target attributes is projected to one-dimensional space. And this space is clustered according to the criteria like as the density value of each target attributes and the amount of overlapped areas among each density values of target attributes. Clusters which are made in this ways are based on the probabilities that can predict a target attribute of instances. Therefore it has an interval boundaries that minimize a loss of information of original data. An improved performance of proposed discretization method can be validated using C4.5 algorithm and UCI Machine Learning Data Repository data sets.