• Asian Journal for Public Opinion Research
• /
• v.10 no.3
• /
• pp.230-253
• /
• 2022

Based on Goffman's dramaturgical theory and self-objectification framework, this study examined: 1) Chinese female's WeChat self-presentation, 2) the impact of WeChat usage on female self-objectification, and 3) the impact of self-objectification on WeChat self-presentation tactics. An online survey was conducted. The main findings include: 1) most of the participants chose to beautify their pictures and videos before they posted them, 2) the respondents attached higher importance to appearance-based body attributes than competence-based ones, 3) the most frequently applied self-presentation tactic was ingratiation, 4) WeChat usage was not a predictor of Chinese women's self-objectification, and, 5) along with extroversion, self-objectification had an impact on ingratiation, supplication, self-promotion, and exemplification. Meanwhile, use of the electronic curtain and audience sifting to control who can see a post and for how long demonstrated the empowerment of the users when they conduct self-presentation.

• Conservation Science in Museum
• /
• v.25
• /
• pp.35-50
• /
• 2021

This study analyzed the basic properties of soil material gathered around Maegok-dong in Gwangju, Gyeonggi-do Province (hereafter, "Maegok soil") and the physicochemical changes in the Maegok soil resulting from the addition of other clay materials in order to present scientific information about the properties of clay available for pottery production. Gravel, coarse sand, and fine sand account for 73% of the total mass of the Maegok soil. Therefore, it required refinement through sifting in order to serve in pottery clay. After sifting, the amount of silt and clay in the soil increased to 95% of the total mass. However, since it lacked plasticity and viscosity, buncheong soil was added. When it was mixed with bungcheong soil at a ratio of 7:3, Maegok soil improved as pottery clay as its viscosity increased, demonstrating compositional properties appropriate for ceramic clay even after firing. Further, its water-absorption rate was decreased to 0.40. This means that soil gathered from anywhere can be used for pottery-making by refining its original properties and through mixture with clay with specific components which help the pottery maintain its shape even after firing.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.1
• /
• pp.50-61
• /
• 2002

The manufacturer first identifies a target market before developing a sizing chart. A target market is specific for age or figure type. The purpose of this study is to evaluate the suitability of sizing system of women's apparel brand in Korea. For this purpose, the characteristics of the manufacture's sizing chart for jacket and skirt/pants were analyzed. For each brand, the target age of the brand and the age of consumers who preferred that bland were compared. The size charts collected from 27 women's apparel brands were analyzed and compared with Korean industrial standard sifting chart. The results of this study reviled that the body proportion in many manufacturer's sizing chart does not correspond to the body types in Korean industrial standard sizing chart. This trend was apparent for the short figure sizes made for women 155cm in height. There is a difference between the target age in brand concept and the age of consumer preferring to purchase that brand apparel. The age of fitting models usually does not correspond the customer's age. It was concluded that the age of target customer does not go well with the age of brand concept nor the fitting model age caused fit problem of the women's ready-made clothes.

• Smart Structures and Systems
• /
• v.3 no.4
• /
• pp.423-437
• /
• 2007

The empirical mode decomposition (EMD) method is well-known for its ability to decompose a multi-component signal into a set of intrinsic mode functions (IMFs). The method uses a sifting process in which local extrema of a signal are identified and followed by a spline fitting approximation for decomposition. This method provides an effective and robust approach for decomposing nonlinear and non-stationary signals. On the other hand, the IMF components do not automatically guarantee a well-defined physical meaning hence it is necessary to validate the IMF components carefully prior to any further processing and interpretation. In this paper, an attempt to use the EMD method to identify properties of nonlinear elastic multi-degree-of-freedom structures is explored. It is first shown that the IMF components of the displacement and velocity responses of a nonlinear elastic structure are numerically close to the nonlinear normal mode (NNM) responses obtained from two-dimensional invariant manifolds. The IMF components can then be used in the context of the NNM method to estimate the properties of the nonlinear elastic structure. A two-degree-of-freedom shear-beam building model is used as an example to illustrate the proposed technique. Numerical results show that combining the EMD and the NNM method provides a possible means for obtaining nonlinear properties in a structure.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.5
• /
• pp.691-702
• /
• 2002

The purpose of this study was to provide basic information on the propriety of the ready to wear garment sizes of Tween Generation(ages from 5th grade to 8th grade) who has different clothing preferences in color, styles, and design and also different body sizes and shapes from younger and older students. The objectives of the study were to ascertain (a) the body figure changes occurring during Tween Generation; (b) the coverage of manufactures'garment sizes. The body measurements of elementary school students(5th & 6th grades) and junior high school students(7th & 8th grades) provide the basic statistics for this study. The mean differences of each size within each figure type are compared by using t-teats. The differences in various manufacturers'apparel sizing and figure size are investigated. Also the body measurements and the apparel sizes of the manufacturers are compared in order to evaluate the suitability of the garment size. Results indicate that the body type factors are different in each age group. And manufactures'sizes come out to be much smaller than the actual body measurements. Young casual wear can cover junior high school students satisfactorily but for elementary school students, because of low drop-value, the overall satisfaction with filling is low.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.619-621
• /
• 2014

addition to the advances in information technology and the latest IT technology for their issue. To enable users who are using the Web to find need the information your search data they're sifting through about how many are struggling. In this paper, we propose a user-centered search system. Lucene search system to offer Hadoop's MapReduce with the Apache project Nutch, Solr, HDFS, utilizing design and implementation. This is the Web search users who wish to use depending on the intentions of the data that you want to collect and index information will be utilized in the search field.

• Structural Monitoring and Maintenance
• /
• v.7 no.4
• /
• pp.283-294
• /
• 2020

In this paper, an adaptive MEMD based modal identification technique for linear time-invariant systems is proposed employing multiple vibration measurements. Traditional empirical mode decomposition (EMD) suffers from mode-mixing during sifting operations to identify intrinsic mode functions (IMF). MEMD performs better in this context as it considers multi-channel data and projects them into a n-dimensional hypercube to evaluate the IMFs. Using this technique, modal parameters of the structural system are identified. It is observed that MEMD has superior performance compared to its traditional counterpart. However, it still suffers from mild mode-mixing in higher modes where the energy contents are low. To avoid this problem, an adaptive filtering scheme is proposed to decompose the interfering modes. The Proposed modified scheme is then applied to vibrations of a reinforced concrete road bridge. Results presented in this study show that the proposed MEMD based approach coupled with the filtering technique can effectively identify the parameters of the dominant modes present in the structural response with a significant level of accuracy.

• The Korean Journal of Applied Statistics
• /
• v.19 no.2
• /
• pp.319-330
• /
• 2006

A signal in real world usually composes of multiple signals having different scales of frequencies. For example sun-spot data is fluctuated over 11 year and 85 year. Economic data is supposed to be compound of seasonal component, cyclic component and long-term trend. Decomposition of the signal is one of the main topics in time series analysis. However when the signal is subject to nonstationarity, traditional time series analysis such as spectral analysis is not suitable. Huang et. at(1998) proposed data-adaptive method called empirical mode decomposition (EMD) . Due to its robustness to nonstationarity, EMD has been applied to various fields. Huang et. at, however, have not considered denoising when data is contaminated by error. In this paper we propose efficient denoising method utilizing cross-validation.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.6
• /
• pp.135-139
• /
• 2012

The wide diffusion of internet and the overall increased reliance on technology for information communication, dissemination and gathering have created an unparalleled mass of data. Sifting through this data is defining and will define in the foreseeable future a big part of contemporary computer science. Within this data, a growing proportion is given by personal information, which represents a unique opportunity to study human activities extensively and live. One important recurring challenge in many disciplines is the problem of people re-identification. In its broadest definition, re-identification is the problem of newly recognizing previously identified people, such as following an unknown person while he walks through many different surveillance cameras in different locations. Our goals is to review how several diverse disciplines define and meet this challenge, from person re-identification in video-surveillance to authorship attribution in text samples to distinguishing users based on their preferences of pictures. We further envision a situation where multidisciplinary solutions might be beneficial.

• Food Science of Animal Resources
• /
• v.37 no.6
• /
• pp.840-846
• /
• 2017

We investigated the physicochemical and sensorial properties of hamburger patties made with three different defatted soybean flour (DSF) preparations which differed in particle size. Coarse ($Dv_{50}=259.3{\pm}0.6{\mu}m$), fine ($Dv_{50}=91.5{\pm}0.5{\mu}m$), and superfine ($Dv_{50}=3.7{\pm}0.2{\mu}m$) DSF were prepared by conventional milling and sifting, followed by jet milling at 7 bars. Hamburger patties containing 5% of each DSF were prepared for a property analysis. The hamburger patties made with 5% superfine DSF showed the lowest cooking loss among the treatment groups (p<0.05). The patties with superfine DSF also retained the texture profile values of the control patties in terms of hardness, gumminess, springiness, and chewiness, while the addition of coarse and fine DSF increased the hardness and chewiness significantly (p<0.05). The sensorial results of quantitative descriptive analysis (QDA) indicate that the patties containing superfine DSF were softer and tenderer than the controls (p<0.05). Although the overall acceptability of the patties made with coarse and fine DSF was poor, the overall acceptability of the superfine DSF patty was the same as that of the control patty. These results suggest that superfine DSF is an excellent food material that can supply dietary fiber, while maintaining the physical characteristics and texture of hamburger patty.