• Journal of Information Science Theory and Practice
• /
• v.7 no.2
• /
• pp.32-39
• /
• 2019

A convolutional neural network (CNN) has been widely used in facial expression recognition (FER) because it can automatically learn discriminative appearance features from an expression image. To make full use of its discriminating capability, this paper suggests a simple but effective method for CNN based FER. Specifically, instead of an original expression image that contains facial appearance only, the expression image with facial geometry visualization is used as input to CNN. In this way, geometric and appearance features could be simultaneously learned, making CNN more discriminative for FER. A simple CNN extension is also presented in this paper, aiming to utilize geometric expression change derived from an expression image sequence. Experimental results on two public datasets (CK+ and MMI) show that CNN using facial geometry visualization clearly outperforms the conventional CNN using facial appearance only.

• Journal of fish pathology
• /
• v.16 no.2
• /
• pp.69-73
• /
• 2003

In this study, GFP reporter gene was transfected into a fibroblast cell line RTG-2 using a polycationic transfection reagent (Superfect) and showed a successful expression of GFP. The transfection efficiency by Superfect was compared to the commonly used transfection method, i.e. DNA-calcium phosphate coprecipitatlon. Transfection by Superfect was more effective than calcium phosphate coprecipltation method (frequency of cell expressing orr was 11.3% and 3.5%, respectively). The optimal expression of GFP and {\beta}-galactosidase was observed when $5-6\;{\mu}{\ell}$ of Superfect per ${\mu}g$ DNA was used for transfcction, 1:5-6 ratio between DNA(${\mu}g$) and Superfect ($\mu\ell$).

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2004.10a
• /
• pp.170-171
• /
• 2004

• The Research Journal of the Costume Culture
• /
• v.14 no.1
• /
• pp.128-141
• /
• 2006

The purposes of this study are to consider characteristics of 'movement expression' that are not discovered in preceeding design studies in order to suggest 'movement expression' as a design formative principal and to make clothes which follows this idea. For the method of this study I used various literature about 'movement expression' as theoretical background and analyzed modern clothing in which 'movement expression' is expressed by collecting magazines including foreign collections from 1989 to 2004 and searching the internet. The results obtained from this study is as follows. First, clothing in which 'movement expression' is expressed removes monotony and tedium of clothing design, provides visual interest and satisfaction for clothing, and delivers designers' concept effectively by attracting a gaze quickly. And It is suggested a new division of 'movement expression' through analysis of the 'movement expression' expressed in clothing. It included the intentional movement by wearers, which is the 'movement expression' of broader meaning such as changes of form or position by a certain operation and changes of existence or function. This movement is not fixed and repeated but changes continuously. As a result of including the design expressing the intentional movement by wearers, one's own personality can be expressed more effectively. It is presented a design which has changeable movement expression continuously.

• Journal of the Korean Society of Costume
• /
• v.39
• /
• pp.39-58
• /
• 1998

In this research, first of all, the special feat-ures of Haute Couture design world (1990∼1996) prevailed in Paris and Rome are investigated, and additionally the understanding of collection concept and design structure analysis are performed to show the various method-ology of creative design. Expression method and design method are the main criteria in analyzing, and the main results of this research are summarized as follows : 1. Most of designers in Paris and Rome ex-press the traditional costume style. Paris designers are focusing on the expression of design morphology through the abstraction and re-appearance without being confined to theme expression ; Rome designers are expressing their main ideas utilizing the fashion image as their theme in lieu of expressing the design morphology. 2. Most of the designers in Paris and Rome are using simple lines for their design. Paris designers prefer the plastic design based upon formal and symmetrical balance of informal and asymmetrical balance to the partial trans-formation design ; Rome designers are enjoy-ing rather the partial transformation using the detail and trimming than the plastic design.

• Steel and Composite Structures
• /
• v.44 no.4
• /
• pp.531-543
• /
• 2022

An exact dynamic analytical method for free vibrations of continuous partial-interaction composite beams is proposed based on the Timoshenko beam theory. The main advantage of this method is that the independent shear deformations and rotary inertia of sub-beams are considered, which is more in line with the reality. Therefore, the accuracy of eigenfrequencies obtained by this method is significantly improved, especially for higher order modes, compared to the existing methods where the rotary angles of both sub-beams are assumed to be equal irrespective of the differences in the shear stiffness of each sub-beam. Furthermore, the solutions obtained by the proposed method are exact owing to no introduction of approximated displacement and force fields in the derivation. In addition, an exact analytical solution for the case of simply supported is obtained. Based on this, an approximate expression for the fundamental frequency of continuous partial-interaction composite beams is also proposed, which is useful for practical engineering applications. Finally, the practicability and effectiveness of the proposed method and the approximate expression are explored using numerical and experimental examples; The influence factors including the interfacial interaction, shear modulus ratio, span-to-depth ratio, and side-to-main span length ratio on the eigenfrequencies are presented and discussed in detail.

• Journal of the Institute of Convergence Signal Processing
• /
• v.11 no.3
• /
• pp.244-249
• /
• 2010

The design of error correction code with low complexity has a good attraction for next generation multi-level cell flash memory. Sharing sub-expressions is effective method to reduce complexity and chip size. This paper proposes a new design method of m-bit parallel BCH encoder based on serial linear feedback shift register structure with low complexity using sub-expression. In addition, general algorithm for obtaining the sub-expression is introduced. The sub-expression can be expressed by matrix operation between sub-matrix of generator matrix and sum of two different variables. The number of the sub-expression is restricted by. The obtained sub-expressions can be shared for implementation of different m-parallel BCH encoder. This paper is not focused on solving a problem (delay) induced by numerous fan-out, but complexity reduction, expecially the number of gates.

• 한국HCI학회:학술대회논문집
• /
• 2007.02a
• /
• pp.667-674
• /
• 2007

Facial expressions provide significant clues about one's emotional state; however, it always has been a great challenge for machine to recognize facial expressions effectively and reliably. In this paper, we report a method of feature-based adaptive motion energy analysis for recognizing facial expression. Our method optimizes the information gain heuristics of ID3 tree and introduces new approaches on (1) facial feature representation, (2) facial feature extraction, and (3) facial feature classification. We use minimal reasonable facial features, suggested by the information gain heuristics of ID3 tree, to represent the geometric face model. For the feature extraction, our method proceeds as follows. Features are first detected and then carefully "selected." Feature "selection" is finding the features with high variability for differentiating features with high variability from the ones with low variability, to effectively estimate the feature's motion pattern. For each facial feature, motion analysis is performed adaptively. That is, each facial feature's motion pattern (from the neutral face to the expressed face) is estimated based on its variability. After the feature extraction is done, the facial expression is classified using the ID3 tree (which is built from the 1728 possible facial expressions) and the test images from the JAFFE database. The proposed method excels and overcomes the problems aroused by previous methods. First of all, it is simple but effective. Our method effectively and reliably estimates the expressive facial features by differentiating features with high variability from the ones with low variability. Second, it is fast by avoiding complicated or time-consuming computations. Rather, it exploits few selected expressive features' motion energy values (acquired from intensity-based threshold). Lastly, our method gives reliable recognition rates with overall recognition rate of 77%. The effectiveness of the proposed method will be demonstrated from the experimental results.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1999.06a
• /
• pp.133-140
• /
• 1999

In this paper, we propose a method of image-based three-dimensional modeling for realistic facial expression. In the proposed method, real human facial images are used to deform a generic three-dimensional mesh model and the deformed model is animated to generate facial expression animation. First, we take several pictures of the same person from several view angles. Then we project a three-dimensional face model onto the plane of each facial image and match the projected model with each image. The results are combined to generate a deformed three-dimensional model. We use the feature-based image metamorphosis to match the projected models with images. We then create a synthetic image from the two-dimensional images of a specific person's face. This synthetic image is texture-mapped to the cylindrical projection of the three-dimensional model. We also propose a muscle-based animation technique to generate realistic facial expression animations. This method facilitates the control of the animation. lastly, we show the animation results of the six represenative facial expressions.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.4
• /
• pp.600-612
• /
• 2022

This study analyzed the learning effect, through a satisfaction survey and NVivo qualitative analysis, of fashion design classes using humanities self-reflection writing. The results are as follows. First, with regard to learning satisfaction, learners perceived the class as efficient and showed overall satisfaction. Second, learners' opinions were classified into self-reflection writing, design process, new experience of expression, and the understanding of class activities. Third, in self-reflection writing, learners discovered their tendencies and values while exploring their identity through deep thinking. Fourth, in the design process, learners set the design concept consistently through writing. Fifth, in the new experience of expression, learners recognized the idea produced through writing as the result of thought and considered it a new expression method for design. Sixth, in the understanding of class activities, learners were interested in the process and considered it an activity through which to build their own style in design expression. Design class activities using self-reflection writing drew a positive response and presented the possibility of educational use. The teaching method of this study is expected to be used as a humanistic method for expressions in various design fields.