• Title/Summary/Keyword: multiple weight

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Evaluation of Maximum Dry Unit Weight Prediction Model Using Deep Neural Network Based on Particle Size Analysis (입도분석에 기반한 Deep Neural Network를 이용한 최대 건조 단위중량 예측 모델 평가)

  • Kim, Myeong Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.3
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    • pp.15-28
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    • 2023
  • The compaction properties of the soil change depending on the physical properties, and are also affected by crushing of the particles. Since the particle size distribution of soil affects the engineering properties of the soil, it is necessary to analyze the material properties to understand the compaction characteristics. In this study, the size of each sieve was classified into four in the particle size analysis as a material property, and the compaction characteristics were evaluated by multiple regression and maximum dry unit weight. As a result of maximum dry unit weight prediction, multiple regression analysis showed R2 of 0.70 or more, and DNN analysis showed R2 of 0.80 or more. The reliability of the prediction result analyzed by DNN was evaluated higher than that of multiple regression, and the analysis result of DNN-T showed improved prediction results by 1.87% than DNN. The prediction of maximum dry unit weight using particle size distribution seems to be applied to evaluate the compacting state by identifying the material characteristics of roads and embankments. In addition, the particle size distribution can be used as a parameter for predicting maximum dry unit weight, and it is expected to be of great help in terms of time and cost of applying it to the compaction state evaluation.

Multiple Body-Image and Clothing-Benefit Sought according to Body-Cathexis (신체만족도에 따른 다차원적 신체이미지와 의복추구효용)

  • Choo, Tae-Gue
    • Fashion & Textile Research Journal
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    • v.4 no.4
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    • pp.376-382
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    • 2002
  • The purpose of this study was to investigate multiple body-image and clothing-benefit sought according to body-cathexis. The questionnaire was administered to 458 female college students in Daegu and Kyungpook. The results were obtained as follows. Most respondents were dissatisfied with their body, especially with lower parts and weight. Among three factors of multiple body-image, degree of appearance-conscious was high, but degree of weight control and physical attractiveness were evaluated low. According to body-cathexis, differences were found in degree of weight control and physical attractiveness between groups. Respondents sought practical use of one's clothing most and comfort, figure flaws compensation, in turn. According to body-cathexis, differences were found in 4 factors of clothing-benefit sought, those were figure flaws compensation, sex appeal, individuality, practical use between groups. Between the factors of multiple body-image and the factors of clothing-benefit sought, positive or negative correlations were found, so it indicated that one's body-image was effected on clothing-benefit sought.

Cluster Analysis with Balancing Weight on Mixed-type Data

  • Chae, Seong-San;Kim, Jong-Min;Yang, Wan-Youn
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.719-732
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    • 2006
  • A set of clustering algorithms with proper weight on the formulation of distance which extend to mixed numeric and multiple binary values is presented. A simple matching and Jaccard coefficients are used to measure similarity between objects for multiple binary attributes. Similarities are converted to dissimilarities between i th and j th objects. The performance of clustering algorithms with balancing weight on different similarity measures is demonstrated. Our experiments show that clustering algorithms with application of proper weight give competitive recovery level when a set of data with mixed numeric and multiple binary attributes is clustered.

MULTIPLE WEIGHTED ESTIMATES FOR MULTILINEAR COMMUTATORS OF MULTILINEAR SINGULAR INTEGRALS WITH GENERALIZED KERNELS

  • Liwen Gao;Yan Lin;Shuhui Yang
    • Journal of the Korean Mathematical Society
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    • v.61 no.2
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    • pp.207-226
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    • 2024
  • In this paper, the weighted Lp boundedness of multilinear commutators and multilinear iterated commutators generated by the multilinear singular integral operators with generalized kernels and BMO functions is established, where the weight is multiple weight. Our results are generalizations of the corresponding results for multilinear singular integral operators with standard kernels and Dini kernels under certain conditions.

ON DYNAMICS OF A SIXTH-ORDER MULTIPLE-ROOT FINDER FOR NONLINEAR EQUATIONS

  • YOUNG HEE GEUM
    • Journal of applied mathematics & informatics
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    • v.42 no.1
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    • pp.213-221
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    • 2024
  • A family of sixth-order multiple-root solver have been developed and the special case of weight function is investigated. The dynamical analysis of selected iterative schemes with uniparametric polynomial weight function are studied using Möbius conjugacy map applied to the form ((z - A)(z - B))m and the stability surfaces of the strange fixed points for the conjugacy map are displayed. The numerical results are shown through various parameter spaces.

A Development of the Ship Weight Estimating Method by a Statistical Approach (통계적 접근법에 의한 선박 중량추정 방법 개발)

  • Cho, Yong-Jin
    • Journal of the Society of Naval Architects of Korea
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    • v.48 no.5
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    • pp.426-434
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    • 2011
  • Accurate weight prediction methods are an essential of the ship design in both ship cost managements and performance satisfactions. When no parent or similar ships are available, an adequate method of the ship weight estimating is required. In this study, there was carried out to develop the ship weight estimating method for the preliminary design phase. The weight estimating methods were first surveyed by the references and summarized their characteristics. The weight estimation method by statistical approach was developed for the container ship because the containerized transportation markets is gradually growing and ship's size and loading capacity are rapidly enlarged. The correlation analysis and the multiple regression analysis were used for developing the weight estimating method. As a results of evaluating the developed method, the error ratio of the variation between estimated weight and ship's data was about 5%. And it was only 1% difference with the calculating weight of conceptual design results by shipyard design team that the estimating weight of ultra-large container ship was predicted by the developed method.

Multiple Imputation Reducing Outlier Effect using Weight Adjustment Methods (가중치 보정을 이용한 다중대체법)

  • Kim, Jin-Young;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.26 no.4
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    • pp.635-647
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    • 2013
  • Imputation is a commonly used method to handle missing survey data. The performance of the imputation method is influenced by various factors, especially an outlier. The removal of the outlier in a data set is a simple and effective approach to reduce the effect of an outlier. In this paper in order to improve the precision of multiple imputation, we study a imputation method which reduces the effect of outlier using various weight adjustment methods that include the removal of an outlier method. The regression method in PROC/MI in SAS is used for multiple imputation and the obtained final adjusted weight is used as a weight variable to obtain the imputed values. Simulation studies compared the performance of various weight adjustment methods and Monthly Labor Statistic data is used for real data analysis.

Identification of weight-control behaviors practiced by diverse groups of college students

  • Lee, Soo-Kyung;Keenan, Debra Palmer;Ryu, Ho-Kyung
    • Nutrition Research and Practice
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    • v.1 no.3
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    • pp.218-223
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    • 2007
  • This study investigated: 1) what weight-related behaviors college students practiced; 2) if the behaviors were performed for weight-related reasons; and 3) whether the behavioral practices differed by gender, race, and body weight status. This cross-sectional study used a questionnaire to collect information from a non-probability sample of undergraduate students (n=379; 48% men) recruited from large introductory psychology classes. Chi-square tests were conducted to examine simple comparisons, and multiple logistic regression analyses assessed differences. Male students reported adopting significantly fewer weight-related behaviors than females. Most frequently males increased exercise (69.2%), increased fruit and vegetable consumption (50%), skipped meals (46%), cut out sweets and junk foods (40%), and cut out between-meal snacks (35%). Female students most frequently increased exercise (67.4%), skipped meals (63%), increased fruit and vegetable consumption (62%), reduced the amount of food eaten (60%), and cut out between-meal snacks (51%). Negative behaviors were engaged in by only a few participants. Weight-related reasons were a significant factor for weight-related behavior adoption. Multiple logistic regression analyses showed that gender was consistently and significantly associated with the adoption of weight-related behaviors, while race and weight status were less consistently associated. Findings of this study will be helpful to dietitians who counsel college students. Results of this study may support effects to bring more comprehensive behaviorally-focused health md nutrition interventions to college campuses.

The Effect of Superovulation of Javanese Thin-Tail Ewes Prior to Mating on Lamb Birth Weight and Preweaning Growth

  • Manalu, W.;Sumaryadil, M.Y.;Sudjatmogo, Sudjatmogo;Satyaningtijas, A.S.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.3
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    • pp.292-299
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    • 2000
  • Forty-four Javanese thin-tail ewes were used to study the effect of superovulation prior to mating and of ration quality on lamb birth weight at parturition. Twenty-two ewes weaning at least one lamb were used to measure lamb preweaning growth. Prior to mating, the experimental ewes were injected twice with prostaglandin, with an 11 d interval between injections to synchronize the estrous cycle. At the last prostaglandin injection, 24 ewes were also injected with 700 IU of pregnant mare serum gonadotropin (PMSG) to stimulate superovulation and the remainder were injected with saline as control. During pregnancy and lactation, the experimental ewes were fed either on a low (12% CP and 65% TDN) or a high (15% CP and 75% TDN) quality ration. During lactation, the milk was collected twice a day and was refed to the lambs by bottle feeding immediately after collection. Superovulation or ration quality as a main factor did not significantly affect lamb birth weight. Litter size significantly affected lamb birth weight (p<0.05), and there was an interaction of superovulation and litter size. Nonsuperovulated ewes giving birth to multiple lambs had significantly lower average lamb birth weight (1.34 kg) as compared to those giving birth to a single lamb (1.97 kg) (p<0.05). However, superovulated ewes giving birth to multiple lambs had no significant difference in average lamb birth weight (1.68 kg) as compared to those giving birth to a single lamb (1.91 kg) (p>0.05). Superovulation of ewes prior to mating resulted in a significant improvement in lamb birth weight in the multiple litter size, without significant effect on average preweaning daily gain (p=0.07). Superovulation had a promising use in improving animal production through improvement of prenatal growth during pregnancy and milk production during lactation.