• Title/Summary/Keyword: Big size

Search Result 1,077, Processing Time 0.025 seconds

A Study on the Breast Shape Analysis of Big-breasted Women (볼륨 유방 여성의 흉부체형 분석에 관한 연구)

  • Han, ChoHee;Yi, Kyong-Hwa
    • Journal of Fashion Business
    • /
    • v.22 no.5
    • /
    • pp.32-40
    • /
    • 2018
  • Big breasted women often experience dissatisfaction with ready-made brassieres, that do not account for individual breast types nor provide adequate cup sizes. This study was conducted to provide basic information on common breast shape and measurements of Korean big-breasted women, and to facilitate development of big-breasted women's bras with excellent fit and comfort. The study analyzed direct upper body measurements of 178 women in their 20's whith cup size C or bigger in the 5th, 6th and 7th Size Korea. In addition, 3D body scan data of women with bra size 75 and cup size C were re-collected and their breast types were examined. Average under-bust circumference of big-breasted women was 75 size in brassiere size. The average stature was 159.78 cm and the body weight was 60.33kg, indicating "overweight". Also, it was revealed that common breast types of big-breasted women, were hemispheric and cone types. The study can facilitate better understanding of breast shapes and sizes of standard big-breasted women, and will be useful as reference in selection of subjects in future studies.

A Study on the Wearing Conditions of Big Size Brassiere for the Women with Bigger Than C Cup Size (빅 사이즈 브래지어 착용실태에 관한 연구 -C컵 이상을 중심으로-)

  • Kim, Nam-Soon;Do, Wol-Hee
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.32 no.1
    • /
    • pp.123-133
    • /
    • 2008
  • The purpose of this study is to analyze dissatisfaction and size appropriateness of the women with big breast for design the high functional big size brassiere. The data were collected from 179 women(between the ages of 20 and 39) residing in Gwang-ju using a questionnaire to purchase, wearing comfort, dissatisfaction of the size, wire and the pad of the big size brassiere. The data were analyzed with Chi-square test, t-test and ANOVA using statistical program SPSS 12.0. The results of this research are as follows; 1) Seven-two-point-two percent of the women with big breast more than C cup size polled said they had difficulty in looking for the suitable size of the brassiere and they usually weared the smaller size than the their own size. As a result, they felt inconvenience for the discord with the nipples and lack of the shape revision. 2) According to the result of the correlation analysis, breast size and Rohrer's index showed low correlation. 3) After dividing all respondents for this research into categories of the group of more than C cup and less than B cup the differences in responses were compared. The dissatisfaction with brassier were 'discord of cup size', 'pain due to the wire' and 'unnatural breast shape' in the group of more than C cup, compared to 'discord of cup size' and 'deformation of the wire and pad' in the group of less than B cup.

The Impact of Big Data Investment on Firm Value

  • Min, Ji-Hong;Bae, Jung-Ho
    • Journal of Distribution Science
    • /
    • v.13 no.9
    • /
    • pp.5-11
    • /
    • 2015
  • Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.

A study on the upper body type and size of men aged 30-44 for men jacket pattern design (남성 재킷 패턴 설계를 위한 30-44세 남성의 상반신 체형 및 유형별 사이즈 연구)

  • Kwon, Dong Kuk
    • The Research Journal of the Costume Culture
    • /
    • v.29 no.6
    • /
    • pp.881-903
    • /
    • 2021
  • This study aimed to analyze adult men's body sizes and shapes and suggest size specifications to provide preliminary data to academia and industries. A total of 814 adult men aged 30-44 were selected from the 7th Size Korea data, and 55 direct upper body measurement and calculation items were analyzed using SPSS 25.0. In individual Individual differences, thickness, circumference, and width were high, and height and length were low. Height above the waist base line and shoulder dimension decreased in early 40s age group, while height below the waist base line declined as age increased. In addition, buttocks shape changes were found in early 40s age group. According to factor analysis, 'upper body and upper-extremity horizontal size', 'torso height and upper extremity length', 'shoulder dimension', 'upper body length' and 'shoulder angle' were derived. Using clustering analysis, four different body types were classified: i) big abdomen with flat chest, ii) slender with big, raised shoulders, iii) dwarfish with small, droopy shoulders, and iv) obese with large shoulders. 'Slender with big, raised shoulders' was a typical body shape among men aged 30-44. In older participants, the 'big abdomen with flat chest' ratio was low, while 'obese with large shoulders' was more common. This study proposed size specifications by body type considering the above characteristics.

A Study on the Upper Body Shapes of Late Elementary Schoolgirls (학령후기 여아의 상반신 체형 연구)

  • Jang, Jeong-Ah
    • Fashion & Textile Research Journal
    • /
    • v.8 no.1
    • /
    • pp.107-112
    • /
    • 2006
  • This study is done to classify the upper body shapes for late elementary schoolgirls. The sampling was done for 11~12 years-old-girls resident in Busan and Kyungnam. Based on the somatometric charateristics of them, 33 anthropometic and 7 photogrphic measurment data were acquired from every girl. These data are statistically analyzed with the following methods; Factor Analysis, Cluster Analysis, and Discriminant Analysis. Resulting from the factor analysis, it is shown that 79.95% of the whole variances can be explained with 8 factors. Through the cluster analysis, 3 types of upper body shapes can be categorized as follows: Type I has average horizontal size, big vertical size and lots of protruded chest ; Type III has big horizontal size, the mean vertical size, and big upper angle of the back ; Type II has small horizontal and vertical size and long surface length of the upper body. Through the discriminant analysis, the high discriminative items in discriminant function are follows: Upper chest circumference, arm length and waist front length of discriminant function I and waist depth, front length, back breadth, nipple to nipple breadth and upper chest circumference of discriminant function II have large coefficient values.

Partition-based Big Data Analysis and Visualization Algorithm (빅데이터 분석을 위한 파티션 기반 시각화 알고리즘)

  • Hong, Jun-Ki
    • The Journal of Bigdata
    • /
    • v.5 no.1
    • /
    • pp.147-154
    • /
    • 2020
  • Today, research is actively being conducted to derive meaningful results from big data. In this paper, we propose a partition-based big data analysis algorithm that can analyze the correlation between variables by setting the data areas of big data as partitions and calculating the representative values of each partition. In this paper, the analyzed visualization results are compared according to the partition size of a proposed partition-based big data analysis (PBDA) algorithm that can control the size of the partition. In order to verify the proposed PBDA algorithm, the big data of 'A' is analyzed, and meaningful results are obtained through the analysis of changes in sales volume of products according to changes in temperature and sales price.

Relationship between Egg Size and Quantitative Characteristics in Silkworm, Bombyx mori (교잡원종에 있어서 잠란의 크기가 계량형질에 미치는 영향)

  • 김충곤;노시갑
    • Journal of Sericultural and Entomological Science
    • /
    • v.34 no.2
    • /
    • pp.13-19
    • /
    • 1992
  • This study was investigated the relationship between egg size and manifestation of quantitative characteristics such as larval growth, cocoon weight and cocoon shell weight etc. There was a high positive correlation between egg size and body weight of newly hatched larva. Until 2nd instar, larval growth was affected by egg size. The body weight of grown larva from big eggs were heavier on all strains except for strain El6 and the larval duration from big egg were shorter on the Japanese and the Chinese skins. These facts show that the characteristics of larval body weight and larval duration were affected more by the strain than by the egg size. The cocoon characteristics of big eggs were better in comparison than those of regular eggs.

  • PDF

A Leading-price Analysis of Wando Abalone Producer Prices by Shell Size Using VAR Model (VAR 모형을 이용한 크기별 완도 전복가격의 선도가격 분석)

  • Nam, Jongoh;Sim, Seonghyun
    • Ocean and Polar Research
    • /
    • v.36 no.4
    • /
    • pp.327-341
    • /
    • 2014
  • This study aims to analyze causality among Wando abalone producer prices by size using a vector autoregressive model to expiscate the leading-price of Wando abalone in various price classes by size per kg. This study, using an analytical approach, applies a unit-root test for stability of data, a Granger causality test to learn about interaction among price classes by size for Wando abalone, and a vector autoregressive model to estimate the statistical impact among t-1 variables used in the model. As a result of our leading-price analysis of Wando abalone producer prices by shell size using a VAR model, first, DF, PP, and KPSS tests showed that the Wando abalone monthly price change rate by size differentiated by logarithm were stable. Second, the Granger causality relationship analysis showed that the price change rate for big size abalone weakly led the price change rate for the small and medium sizes of abalone. Third, the vector autoregressive model showed that three price change rates of t-1 period variables statistically, significantly impacted price change rates of own size and other sizes in t period. Fourth, the impulse response analysis indicated that the impulse responses of structural shocks for price change rate for big size abalone was relatively more powerful in its own size and in other sizes than shocks emanating from other sizes. Fifth, the variance decomposition analysis indicated that the price change rate for big size abalone was relatively more influential than the price change rates for medium and small size abalone.

Role of Large Firms in Countries on the Road to High-income Countries and Avoiding the High-income Trap

  • Shanji Xin;Xu Jin;Furong Jin
    • International Journal of Advanced Culture Technology
    • /
    • v.12 no.2
    • /
    • pp.51-61
    • /
    • 2024
  • This study analyzes and compares the roles and significance of large firms in economic growth by differentiating developmental stages. The focus is on both the role of big businesses on the road from middle- to high-income countries and the performance in their economies. By classifying the top 30 nonfinancial firms into their origin countries, we have constructed a country-level data basis covering 33 countries ranging from middle- to high-income economies for the 2001 to 2017 period. We conduct fixed effect estimation. Empirical results show that capital-intensive big businesses would be more predominant in developed economies. In terms of policy implications, the results suggest that if policymakers want to optimize the role of big businesses in economic growth, policymakers need to distinguish the income level. Policymakers also need to adjust the size distribution of firms moderately ahead of time to create the size distribution of firms needed to take the economy to the next level.

A Study on Control of High Power PM Excited TFLM for Long Distance (장거리 이송용 고출력 영구자석 여자 횡자속 선형전동기 제어에 관한 연구)

  • Jeon, Jin-Yong;Hwang, Gye-Ho;Kim, Ji-Won;Kim, Gyu-Sik
    • The Transactions of the Korean Institute of Power Electronics
    • /
    • v.11 no.5
    • /
    • pp.471-479
    • /
    • 2006
  • Automatic transfer equipments of manufacturing and process line trend toward big size as LCD glass is big size, heavy weight. The conventional stocker uses rotational motor and mechanical power converter device as travel axis of stocker crane and then frequent maintenances by complex structure and mechanical friction are required. Also it has problem to minimize the particle generation. To solve these problems, this paper verified the performance of permanent magnet(PM) excited transverse flux linear motor(TFLM) that is big power density per unit volume applied for travel axis of 7 generation stocker that is being big size, high power, long distance by the experiment based on proposed control algorithm, controller and power converter device.