• Journal of the Korean Society of Costume
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• v.52 no.7
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• pp.139-154
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• 2002

This study selects mannequins. fashion models. and fashion photographs as communication media to express the beauty of an ideal body. Each medium is discussed by the denotative and connotative aspects through the semiology. First, the mannequins are the most concrete medium which can form women's ideal body types and reproduce images in which the idealistic human body are coded in various figures. It embodies such various figures of the modem society by being replaced with the symbolic representation of our intrinsic·extrinsic forms. From a denotative view, the mannequins can be explained by ideal body types and expressive tools. The mannequin has implied connotative meanings of the similarity and dissimilarity between the actual body and itself. Second, fashion models have played a role in transmitting fashion images and presenting the ideal body. As fashion has adopted the body as its object fashion models have been used to express an ideal body. The development of the mass media in the 20th century has defined the standard of the beauty, Both the relationship between fashion designers and fashion models. and the standardization of beauty and fashion models are reviewed from a denotative view. Fashion models imply connotative meanings of the figurative and the controlled property. Third, fashion photographs are historical documents presenting us with the evidence of the ideal body types and culture throughout time. The photographs could be adopted as proper means to express fashion. having realistic and practical expressional functions, and it can be said that the realistic and practical expressional function of photographs has served as a suitable means for express fashion, and fashion photographs are discussed. The fashion photograph has the reproducible and the symbolic property.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• Smart Media Journal
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• v.9 no.3
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• pp.90-97
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• 2020

With the development of the Internet and smartphones, digital sound sources are easily accessible, and accordingly, interest in music search and recommendation is increasing. As a method of recommending music, research using melodies such as pitch, tempo, and beat to classify genres or emotions is being conducted. However, since lyrics are becoming one of the means of expressing human emotions in music, the role of the lyrics is increasing, so a study of emotion classification based on lyrics is needed. Therefore, in this thesis, we analyze the emotions of the farewell lyrics in order to subdivide the farewell emotions based on the lyrics. After constructing an emotion dictionary by vectoriziong the similarity between words appearing in the parting lyrics through Word2Vec learning, we propose a method of classifying parting lyrics emotions using Word2Vec and LSTM, which classify lyrics by similar emotions by learning lyrics using LSTM.

• Journal of the Korea institute for structural maintenance and inspection
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• v.22 no.3
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• pp.38-45
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• 2018

The purpose of this study is to deduct the structural damage / work process risks factors which can be occurred during the decommissioning in the NPP containment concrete structure. To achieve these purpose, risk profile specified in the construction industry is analyzed, and the work process of NPP decommissioning and the construction project were matched based on the similarity of each works. Accordingly, human and physical risk factors are classified. Finally, the risk associated with the building structure and work process was classified as per their process activities, and risk typology explaining the disaster which put the structure, equipments, machine and workers in serious danger was developed.

• The Journal of the Korea Contents Association
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• v.2 no.3
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• pp.1-15
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• 2002

A noel automated brain region extraction method in single channel MR images for visualization and analysis of a human brain is presented. The method generates a volume of brain masks by automatic thresholding using a dual curve fitting technique and by 3D morphological operations. The dual curve fitting can reduce an error in clue fitting to the histogram of MR images. The 3D morphological operations, including erosion, labeling of connected-components, max-feature operation, and dilation, are applied to the cubic volume of masks reconstructed from the thresholded Drain masks. This method can automatically extract a brain region in any displayed type of sequences, including extreme slices, of SPGR, T1-, T2-, and PD-weighted MR image data sets which are not required to contain the entire brain. In the experiments, the algorithm was applied to 20 sets of MR images and showed over 0.97 of similarity index in comparison with manual drawing.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.59 no.3
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• pp.359-363
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• 2014

Soybean seed is a good source of plant protein in human consumables such as baby formula and protein concentrate. The seeds contain an abundance of storage proteins, namely ${\beta}$-conglycin and glycinin that account for ~ 70-80% of the total seed protein content. Proteome profiling has been proved to be an efficient way that can help us to investigate the seed storage proteins. In the present study, the seeds were removed from the pods and the cotylendonary tissues were separated from the testa for proteome analysis in order to investigate the seed storage proteins. A systematic proteome profiling was conducted through one-dimensional gel electrophoresis followed by MALDI-TOF-TOF mass spectrometry in the seeds (cotyledonary tissue) of soybean genotypes. Two dimensional gels stained with CBB, a total of 10 proteins were identified and analyzed using MASCOT search engine according to the similarity of sequences with previously characterized proteins along with the UniProt database. A total of ten proteins such as glycinin Gy4 precursor, glycinin G3 precursor, glycinin G1 precursor, glycinin chain A2B1a precursor, glycinin chain A2B1a precursor were identified in our investigation. However, the glycinin subunit may be considered to play important roles in soybean breeding and biochemical characterization. In addition, the improved technique will be useful to dissect the genetic control of glycinin expression in soybean.

• Archives of design research
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• v.14 no.1
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• pp.27-34
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• 2001

In order to design the products that impression or emotional taste influence the purchase, feedback is necessary as useful data for better idea sketches through users emotional evaluation in early stage of design process. On the other hand, it was required to make judgments individually in previous image evaluations for emotional evaluations such as semantic differential method (SD method) that objects have been considered as classified tendency. However those SD methods are not enough to reflect flexible human capability with similarity judgment in object perceptual process. Therefore, this study proposes a classification of stimulus based on intuitive judgment and a hierarchical image evaluation method based on analysis of hierarchical process and fuzzy integration. The evaluation will be conducted through the order of process, intuitive classification of objective stimulus and items, definition of representatives in each class. Evaluation for each image of the stimulus, calculation of prior raking based on fuzzy integration. The evaluation supportive software is developed to conduct this evaluation process under interactive environments.

• Applied Biological Chemistry
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• v.41 no.2
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• pp.119-124
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• 1998

In this study, the bacteria which could hydrolyze the fibrin produced through the blood coagulation mechanism in the human body, were isolated from Chungkookjang. The KCK-7 strain was selected among the isolated bacteria as the best strain for fibrinolytic activity. It was spore forming and Gram positive. $C_{150}$ anteiso fatty acid and $C_{150}$ iso fatty acid were 40.85% and 19.47%, respectively as major component among its cellular fatty acid composition. It showed the similarity of 63.6%, compared with standard strain. It was thus identified to be Bacillus subtilis according to Bergey's manual of systematic bacteriology and its fatty acid profiles af Gas chromatography. The optimum culture temperature and pH were $37^{\circ}C$ and 8 for the production of fibrinolytic enzyme by Bacillus subtilis KCK-7.

• Journal of KIISE:Software and Applications
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• v.32 no.11
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• pp.1147-1155
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• 2005

This paper deals with Iris recognition as one of biometric techniques which is applied to identify a person using his/her behavior or congenital characteristics. The Iris of a human eye has a texture that is unique and time invariant for each individual. First, we obtain the feature vector from the 2D Iris pattern having a property of size invariant and using the fuzzy LDA which is further through four types of 2D Gabor wavelet. At the recognition process, we compute the similarity measure based on the correlation values. Here, since we use four different matching values obtained from four different directional Gabor wavelet and select the maximum value, it is possible to minimize the recognition error rate. To show the usefulness of the proposed algorithm, we applied it to a biometric database consisting of 300 Iris Patterns extracted from 50 subjects and finally got more higher than $90\%$ recognition rate.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.3
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• pp.142-149
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• 2012

Various image transformations can be used to compress images, to reduce noises in images and to extract useful features. Watermarking techniques using DCT and DWT have been a lot of research interest in the spread of multimedia contents. In this paper, Gabor cosine and sine transform considered as human visual filter is applied to embedding and extraction of watermarks for digital images. The proposed transform is used for watermarking with fifteen attacks. Randomly normal distributed noises are used as an embedded watermark. To measure the similarity between the embedded watermark and extracted one, a correlation value is computed and furthermore is compared with that of existing DCT method. Correlation values of extracted watermark are computed with randomly normal distributed noise sequences, and the sequence with the largest correlation value is declared as the embedded watermark. Frequency components are divided into various bands. Experimental results for low frequency and mid-frequency bands have shown that the proposed GCST provides a good watermarking algorithm and its performance is better than DCT.