• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.15-17
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• 2022

볼 베어링 선택조립 시스템에서 잉여부품을 최소화하기 위해서는 각 부품의 치수 분포를 파악하여 선택 확률을 최적화하여야 하지만, 복잡한 시스템은 생산 공정에 지연이 일으킨다. 본 논문에서는 볼 베어링 선택조립 시스템에서 빠르고 간단하게 선택 우선순위를 결정할 수 있는 군집 우선 선택 알고리즘을 제안한다. 그리고 실제 볼 베어링 선택조립 공정에서 수집한 데이터로 모의 상황을 가정하고, 군집 우선 선택 알고리즘과 기존 알고리즘을 시뮬레이션하여 잉여부품 발생률과 연산소요시간을 평가한다. 시뮬레이션 결과, 군집 우선 선택 알고리즘이 기존 알고리즘에 비하여 83.8% 적은 잉여부품을 발생하였고, 연산소요시간도 39.7% 단축되었다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.164-170
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• 2023

The purpose of this study is to analyze the big data of Adidas brand participating in the Qatar World Cup in 2022 as a FIFA partner to understand useful information, semantic connection and context from unstructured data. Therefore, this study collected big data generated during the World Cup from Adidas participating in sponsorship as a FIFA partner for the 2022 Qatar World Cup and collected data from major portal sites to understand its meaning. According to text mining analysis, 'Adidas' was used the most 3,340 times based on the frequency of keyword appearance, followed by 'World Cup', 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'Qatar', 'FIFA', 'Korea', and 'Uniform'. In addition, the TF-IDF rankings were 'Qatar World Cup', 'Soccer', 'Lionel Messi', 'World Cup', 'Uniform', 'Qatar', 'FIFA', 'Ronaldo', 'Korea', and 'Nike'. As a result of semantic network analysis and CONCOR analysis, four groups were formed. First, Cluster A named it 'Qatar World Cup Sponsor' as words such as 'Adidas', 'Nike', 'Qatar World Cup', 'Sponsor', 'Sponsor Company', 'Marketing', 'Nation', 'Launch', 'Official', 'Commemoration' and 'National Team' were formed into groups. Second, B Cluster named it 'Group stage' as words such as 'Qatar', 'Uruguay', 'FIFA' and 'group stage' were formed into groups. Third, C Cluster named it 'Winning' as words such as 'World Cup Winning', 'Champion', 'France', 'Argentina', 'Lionel Messi', 'Advertising' and 'Photograph' formed a group. Fourth, D Cluster named it 'Official Ball' as words such as 'Official Ball', 'World Cup Official Ball', 'Soccer Ball', 'All Times', 'Al Rihla', 'Public', 'Technology' was formed into groups.

• 한국정밀공학회지
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• 제30권3호
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• pp.254-259
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• 2013

Ball screw system is widely used as a precision mechanical linear actuator that translates rotational motion to linear motion for its high efficiency, great stiffness and long life. Recently, according to the requirements of high accuracy and stiffness, the pre-load on the ball screw which means of remove the backlash in the ball screw is usually used. Because of the preload which means the frictional resistance between the screw and nut, becomes a dominating heat source and it generates thermal deformation of ball screw which is the reason for low accuracy of the positioning decision. There are several methods to solve the problem that includes temperature control, thermal stable design and error compensation. In the past years, researchers focused on the error compensation technique for its ability to correct ball screw error effectively rather than the capabilities of careful machine design and manufacturing. Significant amounts of researches have been done to real-time error compensation. But in this paper, we developed a series of cooling methods to get thermal equilibrium in the ball screw system. So we find the optimum cooling type for improving positioning error which caused by thermal deformation in the ball screw system.

• 한국의류산업학회지
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• 제17권5호
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• pp.815-827
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• 2015

This study analyzes the characteristics by age and type for middle aged and elderly women foot shapes aged 40-69 years. ANOVA, factor, and cluster analyzed middle aged and elderly women's foot shapes. The results of the study are as follows. First, higher age groups tended to have smaller foot lengths, ball/instep circumferences, circumferences, and ball heights with larger heel height values and higher degrees of gathering of toe 1 and toe 5 toward the feet reference axis. Second, foot lengths were 220 mm-240 mm and the ball circumference's size symbol in high frequency sections were distributed from E to EEEE in the 40s and 60s groups and from D to EEEE in the 50s group. Third, eight factors were extracted through the factor analyses of middle aged and elderly women's foot measurement items. Fourth, a cluster analyses classified the subjects into four types. Type 1 is a normal foot type with medium foot length and small ball circumference and type 2 is a long and flat foot type with a type with large foot length and ball circumference values as well as small ball height values. Type 3 is a thick foot type with a medium foot length, large ball circumference, large ball height and type 4 is a toe deformation foot type with medium foot length, small ball circumference, and a high degree of toe gathering toward the center.

• 한국분말재료학회지
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• 제15권5호
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• pp.371-377
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• 2008

This paper deals with the phase analysis of $MgB_2$ bulk using spark plasma sintering process after ball milling. Mg and amorphous B powders were used as raw materials, and milled by planetary-mill for 9 hours at argon atmosphere. In order to confirm formation of $MgB_2$ phase, DTA and XRD were used. The milled powders were fabricated to $MgB_2$ bulk at the various temperatures by Spark Plasma Sintering. The fabricated $MgB_2$ bulk was evaluated with XRD, EDS, FE-SEM and PPMS. In the DTA result, reaction on formation of $MgB_2$ phase started at $340^{\circ}C$. This means that ball milling process improves reactivity on formation of $MgB_2$ phase. The $MgB_2$ MgO and FeB phases were characterized from XRD result. MgO and FeB were undesirable phases which affect formation of $MgB_2$ phase, and it's distribution could be confirmed from EDS mapping result. Spark Plasma Sintered sample for 5 min at $700^{\circ}C$ was relatively densified and it's density and transition temperature showing super conducting property were $1.87\;g/cm^3$ and 21K.

• 한국지반신소재학회논문집
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• 제9권1호
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• pp.47-57
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• 2010

기초 지반이나 댐, 사면 등을 건설할 경우, 성토재로 입자 크기가 큰 조립 재료를 많이 사용하고 있다. 따라서 이러한 조립재료의 전단 거동은 구조물의 안정성에 영향을 미치게 된다. 예를 들어, 구조물과 입자의 접촉면 혹은 입자들간의 접촉면에서 발생하는 입자 파쇄는 전체 지반의 특성을 변화시키고 따라서 구조물의 안정성에 문제를 유발할 수 있다. 본 연구에서는 입자의 파쇄 유무에 따른 전단 거동의 특성을 파악하기 위해 개별요소법(DEM, Distinct Element Model)을 기반으로 하는 수치해석 프로그램 PFC2D를 이용하여 직접전단실험을 재현하였다. 입자의 모델을 파쇄 모델과 비 파쇄 모델로 구분하여 총 4개의 모델을 모사하고 그 결과를 분석하였다. 비 파쇄 모델에는 one ball 모델과 clump 모델이, 파쇄 모델에는 cluster 모델과 Lobo-crushing 모델을 적용하였다. 입자의 구성은 Lobo-Guerrero and Vallejo(2005)가 제안한 8개 입자의 조합으로 구성하였다. 해석 결과, 내부마찰각 순서는 clump 모델 > cluster 모델 > one ball 모델 순이며, 전체를 비교해 봤을 때 원형입자모델보다 입자 결합모델이, 파쇄 모델보다 비 파쇄 모델의 내부마찰각이 크게 나타났다. 또한 기존에 제시된 Lobo-Guerrero and Vallejo(2005)의 모델은 입자 파쇄 거동을 모사하기에는 부적합하다는 결론을 얻을 수 있었다.

• 한국터널지하공간학회 논문집
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• 제14권4호
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• pp.293-308
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• 2012

암반 절리면과 같이 입자와 연속체 평면의 접촉면에서의 전단거동은 전체 구조물의 거동을 지배할 수 있다. 암반설계의 효율을 높이기 위해서는 입자와 연속체 평면의 접촉면 전단거동 메커니즘에 대한 기초적인 이해와 접촉면 전단강도를 정확하게 산정하는 것이 필수적이다. 본 연구에서는 연속체 평면의 표면 거칠기의 영향을 알아보기 위하여 개별요소법 수치해석 프로그램인 $PFC^{2D}$를 사용하였다. 이 때 표면 거칠기는 매끄러운 평면, 중간 거칠기 평면, 거친 평면의 세 가지로 구분하였다. 접촉면 전단시험에서 입자 형상 및 입자 파쇄의 영향을 연구하기 위하여 one ball 모델과 clump 및 cluster 모델을 형성하여 상대적으로 비교 분석하였다. 이 때 입자의 형상은 원형, 삼각형, 직사각형, 정사각형으로 모델링하였다. 수치해석 결과, 표면 거칠기가 클수록 접촉면 전단강도 및 마찰각이 크게 나타났으며, 또한 간극률이 크게 증가하였다. 표면이 매끄러운 one ball 모델보다 작은 입자들의 결합으로 이루어져 표면이 굴곡진 모델, 즉 clump 모델의 접촉면 전단강도 및 마찰각이 크게 나타났다. 입자의 결합이 파괴되는 모델, 즉 cluster 모델의 접촉면 전단 강도 및 마찰각이 같은 형상의 clump 모델보다 작게 나타났으며, 파괴포락선은 비선형으로 나타났다. 이러한 결과로부터 연속체 평면의 거칠기 및 입자의 형상이 입자와 평면의 접촉면 전단거동 특성에 미치는 영향을 확인하였다.

• 한국의류산업학회지
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• 제15권3호
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• pp.414-422
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• 2013

This study identifies the foot shapes of elderly men by classifying foot types according to the shapes of sole of foot and analyzing individual characteristics. The subjects were 269 elderly men over 60 years of age. Their right feet were measured indirectly with a 2D scanner. The anthropometric measuring items consisted of 38 items that were estimated on the right foot of each subject. The 2D scan data were analyzed by various statistical methods such as factor analysis, ANOVA and cluster analysis using the statistical program SPSS 19.0. A total of 8 factors were extracted through a factor analysis and these factors represent 77.83% of total variance. The 8 factors were: ball and lateral foot protrusion, ball gradient, medial foot protrusion, anterior and posterior foot length ratio, lateral ball length, heel size, toes breadth, and foot length, that explained 77.83% of the total variance. A total of 4 clusters (as their sole type) were categorized using 8 factor scores by cluster analysis. Type 1 was classified as H-type(toes width, foot width, heel width uniform and medial malleolus and lateral malleolus almost no protrusion). Type 2 was classified as V-type(foot width and toes width, wide and heel width narrow). Type 3 was classified as A-type(foot width and heel width, wide but toes width narrow, protruded inside). Type 4 was classified as D-type(protruded outside).

• 한국의류학회지
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• 제38권3호
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• pp.305-320
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• 2014

This study identifies the foot shapes of elderly women by classifying foot type according to the 3D shape of the foot and 2D sole type analyzing individual characteristics. The subjects were 295 elderly women over 60 years of age who live in Gwangju. A foot scanner (K&I Technology $Nexcan^{(R)}$) was used to obtain three-dimensional shapes of feet and a flat bad scanner (HP Scanjet G2410) was used to obtain the two-dimensional shapes of soles. The anthropometric measuring items consisted of 59 items estimated on the right foot of each subject. Data were analyzed by various statistical methods such as factor analysis, ANOVA and cluster analysis using the SPSS 19.0 statistical program. To classify the side type of elderly women's feet, three-dimensional measurement data were analyzed for the 27 measurement items using factor analysis and 6 factors were extracted (inside height and side gradient, ankle thickness, toe height and midfoot size, lateral malleolus height, instep, and heel height and gradient). A cluster analysis resulted in three types: 36.5% belonged to Type 1 (high forefoot and high midfoot), 31.1% belonged to Type 2 (high forefoot and low midfoot), and 32.4% belonged to Type 3 (low forefoot and high midfoot). The distribution was relatively even. For the sole, 8 factors were extracted (ball width and medial foot protrusion, lateral foot protrusion, forefoot and hindfoot length ratio, ball gradient, heel size, toe breadth, lateral ball length, and foot length) and a cluster analysis resulted in three Types (Type H, Type D, and Type A). The largest proportion (42.7%) belonged to Type H, which is the same as the elderly men's case.

• 한국정밀공학회지
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• 제25권12호
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• pp.13-19
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• 2008