• Title/Summary/Keyword: cluster fitness

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Comparison between Planned and Actual Data of Block Assembly Process using Process Mining in Shipyards (조선 산업에서 프로세스 마이닝을 이용한 블록 조립 프로세스의 계획 및 실적 비교 분석)

  • Lee, Dongha;Park, Jae Hun;Bae, Hyerim
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.145-167
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    • 2013
  • This paper proposes a method to compare planned processes with actual processes of bock assembly operations in shipbuilding industry. Process models can be discovered using the process mining techniques both for planned and actual log data. The comparison between planned and actual process is focused in this paper. The analysis procedure consists of five steps : 1) data pre-processing, 2) definition of analysis level, 3) clustering of assembly bocks, 4) discovery of process model per cluster, and 5) comparison between planned and actual processes per cluster. In step 5, it is proposed to compare those processes by the several perspectives such as process model, task, process instance and fitness. For each perspective, we also defined comparison factors. Especially, in the fitness perspective, cross fitness is proposed and analyzed by the quantity of fitness between the discovered process model by own data and the other data(for example, the fitness of planned model to actual data, and the fitness of actual model to planned data). The effectiveness of the proposed methods was verified in a case study using planned data of block assembly planning system (BAPS) and actual data generated from block assembly monitoring system (BAMS) of a top ranked shipbuilding company in Korea.

A Study on the Standard Sizes Selection Method for Combat Fatiques Using a Clustering Algorithm of Neural Networks (Neural Networks Clustering Algorithm을 이용한 전투복 표준호수 선정에 관한 연구)

  • 김충영;심정훈
    • Korean Management Science Review
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    • v.16 no.1
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    • pp.89-99
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    • 1999
  • Combat fatigues are issued to military personnel with ready made clothes. Ready made combat fatigues should be fitted to various bodies of military personnel within given standard size. This paper develops a standard sizes selection method in order to increase the coverage rate and fitness for combat fatigues. The method utilizes a generalized learning vector quantization(GLVQ) algorithm that is one of cluster algorithm in neural networks techniques. The GLVQ moves the standard sizes from initial arbitrary sizes to next sizes in order to increase more coverage rate and fitness. Finally, when it cannot increase those, algorithm is terminated. The results of this method show more coverage rate and fitness than those of the other methods.

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Sizing System for the Junior-high School Girls′ Lower Clothes According to the Lower Body type Analysis (여중생의 하반신 체형분류에 따른 하의류 치수체계)

  • 임지영
    • Journal of the Korean Home Economics Association
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    • v.40 no.7
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    • pp.119-127
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    • 2002
  • Fitness of clothes becomes a major concern in apparel industry. In order to improve clothing fitness, it's very important to suggest a systematical sizing system. The Purpose of this study was to suggest a standard sizing system for junior-high school girls'lower clothes. The subjects were 402 middle-high school girls of 13 to 15 year-old. 4 clusters were categorized by cluster analysis and the sizing system was classified according to four lower body types. The size intervals of waist girth and hip girth were 3cm and 4cm respectively. The most frequent size were 64-86 in the short and small figure type 1,67-90 in the fattest figure type 2, 61-86 in the average size type 3 and 64-90 in type 4 taller than others types. The sizing system, which had frequencies more than 4%, was classified 9 cases, 11 cases, 8 cases and 9 cases respectively by lower body types. This result will contribute to clothing fitness of consumer and the amount of production.

Classification of Bodytype of Lower Part on Adult Male for the Apparel Sizing System (남성복(男性服)의 치수규격을 위한 하체부(下體部)의 체형분류(II))

  • Kim, Ku Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.17 no.4
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    • pp.602-607
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    • 1993
  • Concept of the comfort and fitness becomes a major concern in the basic function of the ready-made clothes. This research was performed to classify and characterize Korean adult males anthropometrically. Sample size was 1290 subjects and their age range was from 19 to 54 years old. Sampling was carried out by the stratified sampling method. 75 variables in total were applied to classify the bodytypes. Data were analyzed by the multivariate method, especially factor and cluster analysis. The high factor loading items extracted by factor analysis were based to determine the variables of the cluster analysis for the similar bodytypes respectively. In the part of the lower body, 14 variables from the data were applied to classify the bodytypes of lower part by Ward's minimum variance method. The group fanning a cluster were subdivided into 5 sets by cross-tabulation extracted by the hierarchical cluster analysis. Type 3 and 4 in lower body were composed of the majority of 53.1% of the subjects. The Korean adult males had relatively well-balanced in lower body.

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Classification and Analysis of the Somatotype through Side View Silhouette of the whole body by Multivariate Method (다변량분석법에 의한 측면전신체형 분류)

  • 권숙희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.21 no.7
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    • pp.1227-1235
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    • 1997
  • The purpose of this study was to classify the somatotype based on the side view and to analyze the characteristics of each somatotype. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The subjects were 206 unmarried women aged from 19-29. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and analysis of variance. As the result of factor analysis for the classification of somatotypes, 8 factors which explain 74.7% of variance were extracted from 35 photometric and 17 anthrometric data. Using factor scores cluster analysis was carried out and the subjects were classified into 4 cluster.Each cluster was classified as bending type, swayback, turning over type and straight type accordding to its position to the relativeplumb line and their side view contour.

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An Energy Efficient Group-Based Cluster Key Management for Large Scale Sensor Networks (대규모 센서 네트워크에서 그룹을 기반으로 한 에너지 효율적인 클러스터키 관리 방안)

  • Kim, Jin-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.5487-5495
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    • 2012
  • The important issue that applies security key are secure rekeying, processing time and cost reduction. Because of sensor node's limited energy, energy consumption for rekeying affects lifetime of network. Thus it is necessary a secure and efficient security key management method. In this paper, I propose an energy efficient group-based cluster key management (EEGCK) in the large scale sensor networks. EEGCK uses five security key for efficient key management and different polynomial degree using security fitness function of sector, cluster and group is applied for rekeying and security processing. Through both analysis and simulation, I also show that proposed EEGCK is better than previous security management method at point of network energy efficiency.

Partially Evaluated Genetic Algorithm based on Fuzzy Clustering (퍼지 클러스터링 기반의 국소평가 유전자 알고리즘)

  • Yoo Si-Ho;Cho Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.31 no.9
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    • pp.1246-1257
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    • 2004
  • To find an optimal solution with genetic algorithm, it is desirable to maintain the population sire as large as possible. In some cases, however, the cost to evaluate each individual is relatively high and it is difficult to maintain large population. To solve this problem we propose a novel genetic algorithm based on fuzzy clustering, which considerably reduces evaluation number without any significant loss of its performance by evaluating only one representative for each cluster. The fitness values of other individuals are estimated from the representative fitness values indirectly. We have used fuzzy c-means algorithm and distributed the fitness using membership matrix, since it is hard to distribute precise fitness values by hard clustering method to individuals which belong to multiple groups. Nine benchmark functions have been investigated and the results are compared to six hard clustering algorithms with Euclidean distance and Pearson correlation coefficients as fitness distribution method.

Classification of Bodytype on Adult Male for the Apparel Sizing System (Part 3) -Bodytype of Trunk from the Photoqraphic Data- (남성복의 치수규격을 위한 체형분류(제3보) -사진자료에 의한 동체부의 분류-)

  • 김구자
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.6
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    • pp.924-932
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    • 1995
  • Concept of the comfort and fitness has become a major concern in the basic function of the ready.made clothes. Until now ready-made clothes were not made by on the basis of the bodytype, but by the body size only This research was performed to classify and characterize the bodytypes of Korean adult males. Sample size was 1290 subjects and their age range was from 19 to 54 years old. 25 variables from the photographic data were applied to analyze the bodytype of trunk. Data were analyzed by the multivariate method, especially factor and cluster analysis. The groups forming a cluster can be subdivided into 5 sets by crosstabulation extracted by the hierarchical cluster analysis. 5 bodytypes classified by the photographic sources could be combined with the anthropometric data and were demonstrated with 5 silhouette. Type 3 and 4 in trunk were dominant and were composed of the majority of 55.6% of the subjects. Bodytypes of Korean males were influenced by the degree of posture erectness and of curvature of the front side of the body in waist and abdomen.

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Dietary Patterns and Health Behaviors of Hypertensive Korean Adults

  • Kim, Youngok;Lee, Soon-Young
    • Preventive Nutrition and Food Science
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    • v.7 no.2
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    • pp.201-206
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    • 2002
  • Findings from European and American studies have indicated such health behaviors as smoking, drinking, lack of exercise, and insufficient intake of grains, fruits and vegetables as risk factors for hypertension. However, because dietary pattern and health behaviors of Korean differ from people of other countries, the risk factors for Koreans could be different. Therefore, the aim of this study was to identify food consumption patterns and health behavior characteristics of Korean hypertensive adults. Data on food consumptions and other health behaviors such as smoking, drinking, and exercise together with development of hypertension were collected from 597 persons aged 20 to 69 years in a local community. The first stage of analysis utilized cluster analysis to aggregate individuals into different health behavior and food consumption groups. Four health behavior groups were characterized by passive cluster, smoker cluster, fitness cluster and drinker cluster. Food consumption patterns of the subjects were also aggregated into 4 different clusters: dairy cluster, grain & vegetable cluster, fruit cluster, and fish & meat cluster. Then univariate analysis was followed to identify the variables associated with hypertension. The final stage of analysis was the identification of the relative importance of the variables selected from the univariate analysis on hypertension, using multiple logistic analysis. The results showed that heavy drinking was the most significant health behavior associated hypertension, which was similar to the findings in European and American studies. However, unlike the findings from foreign studies, grain and vegetable consumption appeared to be a risk factor for hypertension. A possible reason for the contradictory results between Korean and Western studies may be the dependence of Koreans on white rice as the major staple food, and/or the frequent consumption of salted vegetables, rather than fresh vegetables as is customary in Europe and America.

A Study on the Analysis of Korean Adults' Bead-type and the Distribution of Size for Improving the Fitness of Swimming Headgear (수영모 맞음새 개선을 위한 한국인의 두형분석과 치수분포에 관한 연구)

  • Kim, In-Sook;Kwon, Myoung-Sook;Yang, Min-Jae
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.8 s.145
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    • pp.1079-1091
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    • 2005
  • The purpose of this study was to point out the unification of the size of swimming headgear by measuring detailed measurement of head ferm and systematizes the head form. A total of 300 male and female Korean adults aged from 18 years old to 35 years old were measured through the direct measurement method. This study attempted to identify the head form of male and female adults using measurement data and the head form was classified through factor analysis and cluster analysis. (1) Based on the fact that this study especially focuses on the size of swimming headgear, factor analysis was performed far both direct measurements with hair and without hair. For the measurements with hair, seven factors were extracted. They were head thickness factor, head width factor, width of side head factor, height of back head factor, length of front head factor, circumference of front head factor, thickness of front head factor and head height factor. They explained the $70.95\%$ of the measurements. (2) The cluster analysis was executed to classify the somatotype of the korean head form on the basis of similarity. According to the cluster analysis result, the measurements with hair categorized types, 'Woman's long-hair type', 'Small type', 'Long and flat type', 'Large type'. (3) Head circumference B and Left tragion - Vertex - Right tragion circumference which are generally length and width in choosing swimming headgear size were selected as measurement items far size of swimming headgear. Direct measurements and sizes of four swimming headgear with different materials taking into account their elongation rate were also compared.