• Title/Summary/Keyword: Function Representation

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The Gender Representation of Online Educational Content - Centering on inamootoon (EBStoon) - (온라인 교육 콘텐츠의 젠더 재현 양상 - 아이나무툰(EBS툰)을 중심으로 -)

  • Choi, Bae-Eun
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.112-120
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    • 2022
  • In order to examine the cultural vicious cycle of gender representation in online educational content, this paper reviewed the top five popular webtoons of inamootoon (EBStoon), Korea's first children's webtoon platform. The patterns of appearance representation that distinguish character's gender, the desire and psychology of characters according to gender, and their functions in the work were critically analyzed from a feminist perspective. In most of the works, the appearance of characters often follows gender stereotypes. It appears that women have long hair and wear dresses while men have short hair. On the other hand, the gender characteristics in terms of psychology and function show the aspect of breaking gender's cliche. The gender proportion of the protagonists is almost the same. Regardless of gender, they function as solvers or rescuers, bravely and wisely overcoming the problem situation. By the way, it is interesting that in representing the main character's gender, the weaker the gender stereotypes, the more popular the work among the readers. This fact suggests that the critical acceptance and choice of young readers can break the cultural vicious cycle of gender representation.

Multi-view Clustering by Spectral Structure Fusion and Novel Low-rank Approximation

  • Long, Yin;Liu, Xiaobo;Murphy, Simon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.813-829
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    • 2022
  • In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

A New Integral Representation of the Coverage Probability of a Random Convex Hull

  • Son, Won;Ng, Chi Tim;Lim, Johan
    • Communications for Statistical Applications and Methods
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    • v.22 no.1
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    • pp.69-80
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    • 2015
  • In this paper, the probability that a given point is covered by a random convex hull generated by independent and identically-distributed random points in a plane is studied. It is shown that such probability can be expressed in terms of an integral that can be approximated numerically by function-evaluations over the grid-points in a 2-dimensional space. The new integral representation allows such probability be computed efficiently. The computational burdens under the proposed integral representation and those in the existing literature are compared. The proposed method is illustrated through numerical examples where the random points are drawn from (i) uniform distribution over a square and (ii) bivariate normal distribution over the two-dimensional Euclidean space. The applications of the proposed method in statistics are are discussed.

A Study on the Artistic Representation and Design of Fashion (패션의 藝術的 表現과 디자인 硏究 - 실루엣과 Image 효과-)

  • 김은주
    • The Research Journal of the Costume Culture
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    • v.5 no.1
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    • pp.85-98
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    • 1997
  • The purpose of this study is to pointed artistic representation design on fashion through observation, integrating of the formative arts. Above all, designing principle should be considered with trend, styling ,coloring. Suggested designing study is the essence of present methods. ① Clothing as an art ② Expression in fashion design ③ Creation of the artistic sense ④ The various techniques of design ⑤ Perform the steps of design (Ⅰ) ∼ (Ⅲ) That is to say, fashion is reflected in the spirit of painters as well as designers. Art is close and common relationship between individual will-to-form and the sense of value. Thus Art wear is represented the minute expression of designing the function with artistic originality. I submit some opinion and my studies. ① Forms of Formative Arts ② Analysis of the Silhouette & Design - - ③ Color scheme of Design ④ Artistic representation techniques - Knit wear design ⑤ Emotion of Beauty The results of this study were as follows : 1. Fashion design is demanded to do motivation by means of artistic representation. 2. Smart, sophisticated image effects, avoiding posterlike garish appearance. 3. It is supported for fashion information which is relating to design through industry society.

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Analysis of Transforming Mathematical Representation Shown in the Class of Composite Function Using the CAS (CAS 공학을 사용한 합성함수 수업에서 나타난 수학적 표상 전환 과정에 대한 분석)

  • Lee, Yu Bin;Cho, Cheong Soo
    • School Mathematics
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    • v.17 no.1
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    • pp.19-33
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    • 2015
  • This study examined mathematics class using the CAS(Computer Algebra Systems, CAS) targeted for high school first grade students. We examined what kind of transforming of representations got up according to mathematics subject contents at this classroom. This study analyzed 15 math lessons during one month and the focus of analysis was on the classroom teacher. In particular, for transformations among representations this study mainly investigated from theoretical frameworks such as transparent and opaque representation of Lesh, Behr & Post(1987), descriptive and depictive representation of Kosslyn(1994). According to the results of this study, CAS technology affected the transforming of representations in high school math class and this transforming of representations improved the students' thinking and understanding of mathematical concepts and provided the opportunity to create the representation of individual student. Such results of this study suggest the importance of CAS technology's role in transforming of representations. and they offer the chance to reconsider the fact that CAS technology could be used to improve students' ability of transforming representations at the mathematics class.

A Geometric Derivation of the Craig Representation for the Two-Dimensional Gaussian Q-Function (이변량 가우시안 Q-함수의 Craig 표현에 대한 기하학적인 유도)

  • Park, Seung-Keun;Lee, Il-Kyoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4A
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    • pp.325-328
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    • 2011
  • In this paper, we present a new and simple derivation of the Craig representation for the two-dimensional (2-D) Gaussian Q-function in the viewpoint of geometry. The geometric derivation also leads to an alternative Craig form for the 2-D Gaussian Q-function. The derived Craig form is newly obtained from the geometry of two wedge-shaped regions generated by the rotation of Cartesian coordinates over two correlated Gaussian noises. The presented Craig form can play a important role in computing the probability represented by the 2-D Gaussian Q-function.

NOTE ON CAHEN′S INTEGRAL FORMULAS

  • Choi, June-Sang
    • Communications of the Korean Mathematical Society
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    • v.17 no.1
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    • pp.15-20
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    • 2002
  • We present an explicit form for a class of definite integrals whose special cases include some definite integrals evaluated, over a century ago, by Cahen who made use of an appropriate contour integral for the integrand of a well-known integral representation of the Riemann Zeta function given in (3). Furthermore another analogous class of definite integral formulas and some identities involving Riemann Zeta function and Euler numbers En are also obtained as by-products.

Development of Replacement Models under Minimal Repair with Wavelet Failure Rate Functions (웨이브릿 고장률 함수를 갖는 최소수리 교체모형 개발)

  • 최성운
    • Journal of the Korea Safety Management & Science
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    • v.3 no.4
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    • pp.91-101
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    • 2001
  • This paper is to develop replacement models under minimal repair with exponential polynomial wavelet failure rate function. Wavelets have good time-frequency localization, fast algorithms and parsimonious representation. Also this study is presented along with numerical examples using sensitivity analysis for exponential polynomial trigonometric failure rate function.

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A STUDY ON THE TIME-VARYING POWER SPECTRUM ESTIMATION ALGORITHM USING TIME-FREQUENCY REPRESENTATION (시주파수 표현에 의한 시변파워스펙트럼 추정 알고리즘에 관한 연구)

  • Lee, Jeong-Whan;Lee, Joon-Young;Lee, Dong-Joon;Kim, Han-Soo;Jeon, Woo-Chul;Lee, Myoung-Ho
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.991-993
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    • 1999
  • This study proposed a new algorithm to assess autonomic function activity using Time-Frequency Representation(TFR). TFR is a way of describing the time-valiant energy of a signal. A discrete Wigner representation that is capable of filtering out any cross terms occuring in the Wigner-Ville Distribution(WVD) is used for time-variant energy distribution of heart rate variability(HRV) signals. And the marginal condition are evaluated to estimate power spectrum of HRV signals. The proposed algorithm showed that estimated power spectrum of HRV signals well describe the autonomic nerve system function and also showed the dynamics of autonomic nervous system response.

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High Representation based GAN defense for Adversarial Attack

  • Sutanto, Richard Evan;Lee, Suk Ho
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.141-146
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    • 2019
  • These days, there are many applications using neural networks as parts of their system. On the other hand, adversarial examples have become an important issue concerining the security of neural networks. A classifier in neural networks can be fooled and make it miss-classified by adversarial examples. There are many research to encounter adversarial examples by using denoising methods. Some of them using GAN (Generative Adversarial Network) in order to remove adversarial noise from input images. By producing an image from generator network that is close enough to the original clean image, the adversarial examples effects can be reduced. However, there is a chance when adversarial noise can survive the approximation process because it is not like a normal noise. In this chance, we propose a research that utilizes high-level representation in the classifier by combining GAN network with a trained U-Net network. This approach focuses on minimizing the loss function on high representation terms, in order to minimize the difference between the high representation level of the clean data and the approximated output of the noisy data in the training dataset. Furthermore, the generated output is checked whether it shows minimum error compared to true label or not. U-Net network is trained with true label to make sure the generated output gives minimum error in the end. At last, the remaining adversarial noise that still exist after low-level approximation can be removed with the U-Net, because of the minimization on high representation terms.