• 한국의상디자인학회지
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• 제6권1호
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• pp.13-24
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• 2004

This study was analyzed three basic patterns of the Islamic arts. These are natural flora, geometrical and calligraphy pattern. Islamic belief in Aniconism, doctrine of unity and worship of arabic language demanded delicate, decorative, and abstract patterns instead of patterns of real image. Natural flora pattern was classified into arabesque and various flower patterns. Muhammad commands that "The artist who fashions a representation of living things is competitor of God and therefore destined to eternal damnation, so if you want to represent living things, you should only depict flowers and trees". Then the natural flora patterns developed into main Islamic pattern. Geometric pattern was composed of geometrical elements like, circle, trigon, square, rectangle, pentagon, hexagon, octagon or other polygons, stars or motifs with straight or curved lines. Circle symbolized ′celestial′ sphere and crystal of the lower octagon symbolized ′earthly existence′. Therefore if the circle join with the octagons, it means fusion of celestial and earthly existence. Another important influence on the Islamic art was the calligraphy pattern, the writing of Arabic language. The major language of calligraphy pattern was Arabic script and often Persian script. Calligraphy pattern was composed of Kufic and Cursive script. The cursive script was developed various forms. The Islamic tenet prohibit depiction of sacred images, the sacred Arabic calligraphy such as ′Alla′ or ′Mohammad′ was substituted of them. And the content of calligraphy pattern was used with Quranic phrases. The aesthetics of Islamic patterns analyzed aesthetic of ′rhythmic lines′, aesthetic of ′unity in multiplicity′, aesthetic of tessellation and aesthetic of harmony. On the textiles of the Islamic culture, the arabesque, floral, geometric and calligraphy patterns were frequently used.

• Journal of Preventive Medicine and Public Health
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• 제50권6호
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• pp.347-360
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• 2017

Objectives: This meta-analysis aimed to evaluate congenital malformations in infants conceived by assisted reproductive techniques (ART), compared with infants conceived spontaneously. Methods: In this study, available resources searched to find relevant articles included PubMed, ScienceDirect, Scopus, Google Scholar, Cochrane, ProQuest, Iranmedex, Magiran, and Scientific Information Database. After extracting the necessary information from evaluated articles, meta-analysis on the articles' data was performed using Stata version 11.2. Results: In this study, from a total of 339 articles, extracted from the initial investigation, ultimately 30 articles were selected for meta-analysis that assessed the use of ART on the risk of congenital abnormalities and some birth complications on 5 470 181 infants (315 402 cases and 5 154 779 controls). The odds ratio (95% confidence interval [CI]) for low birth weight was 1.89 (95% CI, 1.36 to 2.62), preterm labor 1.79 (95% CI, 1.21 to 2.63), cardiac abnormalities 1.43 (95% CI, 1.27 to 1.62), central nervous system abnormalities 1.36 (95% CI, 1.10 to 1.70), urogenital system abnormalities 1.58 (95% CI, 1.28 to 1.94), musculoskeletal disorders 1.35 (95% CI, 1.12 to 1.64), and chromosomal abnormalities in infants conceived by ART was 1.14 (95% CI, 0.90 to 1.44), which were all statistically significant, except chromosomal abnormalities. Conclusions: The risk of congenital abnormalities and some birth complications were significantly higher in ART than normal conception, while chromosomal abnormalities were not; therefore, the application of ART should be selected individually for patients by detailed assessment to reduce such risks in the population.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2002년도 춘계학술발표대회 논문집
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• pp.159-162
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• 2002

In the middle of 1940s, Hassan Fathy, a great Islamic contemporary architect, built cheap multifamily houses, schools, mosques and public market in the village of Gourna, near Luxor, Egypt for the poor Egyptian. At that time the western style houses made of concrete materials were so expensive for the Egyptian people in the rural area, that Hassan Fathy, a young architect, challenged to build the houses for them. He considered seriously the expenses that the lower-class Egyptians in the rural area could pay for building houses. He built up gorges arch-style building and done-style building by using traditional materials, which consisted of reeds, roues and mud brick for adobe. He made the design of houses cool in summer and warm in winter. The houses in the Gourna village were, afterwards, highly evaluated, in the sense that they represented the Islamic uniqueness of architecture and its beauty. As a result, the Gourna village made him receive many of awards including the Aga Khan Award. This study tries to focus on the reviewing of modern Islamic architecture by analyzing Hassan Fathy's architectural art, on the investigation of traditional materials used for building the Gourna village, and finally on the contribution for the research of Islamic architecture

• 한국도서관정보학회지
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• 제50권3호
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• pp.1-22
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• 2019

서양사회는 중세를 '암흑시대'로 폄하해 왔다. 그러나 중세 천년을 주도한 이슬람이 종이와 제지술, 아랍 번역본을 서양에 전파하지 않았다면 희랍 라틴어 번역과 전수, 구텐베르크 인쇄술, 종교개혁, 르네상스는 태동할 수 없었다. 그들은 고대 지식문명 파괴자가 아니라 복원과 부활의 주역이었다. 그 거점이 무슬림 공동체로 회자되는 모스크와 이슬람 도서관(지혜의 집)이다. 이에 본 연구는 중세 이슬람 왕조의 성립과 아라비아 반도, 아프리카, 이베리아 반도를 지배하는 과정에서 등장한 이슬람 도서관을 추적했다. 이를 위하여 왕실이 주도한 칼리프 도서관, 모스크에 병설된 공공도서관, 재상과 학자 등이 설립한 개인도서관으로 대별한 후 중세 이슬람 도시인 다마스쿠스, 메카, 바그다드, 알레포, 코르도바, 카이로, 페스, 튀니스 등의 주요 도서관 흔적을 중심으로 역사와 발전, 역할과 기능, 인류문명에 미친 영향과 중요성, 침체와 쇠퇴 등을 분석했다.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.281-291
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• 2021

The Islamic jurisprudential legal system represents an essential component of the Islamic religion, that governs many aspects of Muslims' daily lives. This creates many questions that require interpretations by qualified specialists, or Muftis according to the main sources of legislation in Islam. The Islamic jurisprudence is usually classified into branches, according to which the questions can be categorized and classified. Such categorization has many applications in automated question-answering systems, and in manual systems in routing the questions to a specialized Mufti to answer specific topics. In this work we tackle the problem of automatic categorisation of Islamic jurisprudential legal questions using deep learning techniques. In this paper, we build a hierarchical deep learning model that first extracts the question text features at two levels: word and sentence representation, followed by a text classifier that acts upon the question representation. To evaluate our model, we build and release the largest publicly available dataset of Islamic questions and answers, along with their topics, for 52 topic categories. We evaluate different state-of-the art deep learning models, both for word and sentence embeddings, comparing recurrent and transformer-based techniques, and performing extensive ablation studies to show the effect of each model choice. Our hierarchical model is based on pre-trained models, taking advantage of the recent advancement of transfer learning techniques, focused on Arabic language.

• International Journal of Internet, Broadcasting and Communication
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• 제15권2호
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• pp.175-180
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• 2023

Fractal geometry, a relatively new branch of mathematics, was first introduced by Benoit Mandelbrot in 1975. Since then, its applications have expanded into various fields of natural science. In fact, it has been recognized as one of the three significant scientific discoveries of the mid-20th century, along with the Dissipative System and Chaos Theory. With the help of fractal geometry, designers can create intricate and expressive artistic patterns, using the concept of self-similarity found in nature. The impact of fractal geometry on the digital art world is significant and its exploration could lead to new avenues for creativity and expression. This paper aims to explore and analyze the development and applications of fractal geometry in digital art design. It also aims to showcase the benefits of applying fractal geometry in art creation and paves the way for future research on sacred geometry.

• Computers and Concrete
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• 제22권4호
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• pp.419-437
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• 2018

The compressive strength of self-compacting concrete (SCC) containing fly ash (FA) is highly related to its constituents. The principal purpose of this paper is to investigate the efficiency of hybrid fuzzy radial basis function neural network with biogeography-based optimization (FRBFNN-BBO) for predicting the compressive strength of SCC containing FA based on its mix design i.e., cement, fly ash, water, fine aggregate, coarse aggregate, superplasticizer, and age. In this regard, biogeography-based optimization (BBO) is applied for the optimal design of fuzzy radial basis function neural network (FRBFNN) and the proposed model, implemented in a MATLAB environment, is constructed, trained and tested using 338 available sets of data obtained from 24 different published literature sources. Moreover, the artificial neural network and three types of radial basis function neural network models are applied to compare the efficiency of the proposed model. The statistical analysis results strongly showed that the proposed FRBFNN-BBO model has good performance in desirable accuracy for predicting the compressive strength of SCC with fly ash.

• 한국세라믹학회지
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• 제56권3호
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• pp.256-268
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• 2019

In this research, some mechanical properties of Al₂O₃-based composites containing nanoSiC and nanoMgO additives, including elasticity modulus, hardness, and fracture toughness, have been evaluated. Micron-sized Al₂O₃ powders containing 0.08 wt.% nanoMgO particles have been mixed with different volume fractions of nanoSiC particles (2.5 to 15 vol.%). Untreated samples have been sintered by using hot-press technique at temperatures of 1600 to 1750℃. The results show significant increases in the mechanical characteristics with increases in the sintering temperature and amount of nanoSiC particles, with the result that the elasticity modulus, hardness, and fracture toughness were obtained as 426 GPa, 21 GPa, and 4.5 MPa.m^1/2, respectively.

• 한국세라믹학회지
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• 제56권1호
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• pp.37-48
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• 2019

The objective of this research is to analyze the fracture toughness of pure and silica co-doped yttria-stabilized tetragonal zirconia polycrystal (3Y-TZP) bioceramics containing 0.1 and 0.2 wt.% of alumina, and sintered at a temperature of $1500^{\circ}C$. Because of the relatively easy preparation of the test specimens and the high speed of testing, the Vickers indentation fracture (VIF) technique is more frequently used to evaluate the fracture toughness of biomaterials and hard biological tissues. The Young's modulus and hardness values were obtained by means of nanoindentation and indentation methods. The fracture toughness values of 3Y-TZP bioceramics were calculated and analyzed using 15 equations related to the VIF technique, and loadings of 49.03 and 196.13 N with a Vickers diamond. For validation, the results were compared with fracture toughness values obtained by the single-edge laser-notch beam (SELNB) method with an almost atomically sharp laser-machined initial notch.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.406-412
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• 2022

Scene classification of very high-resolution (VHR) imagery can attribute semantics to land cover in a variety of domains. Real-world application requirements have not been addressed by conventional techniques for remote sensing image classification. Recent research has demonstrated that deep convolutional neural networks (CNNs) are effective at extracting features due to their strong feature extraction capabilities. In order to improve classification performance, these approaches rely primarily on semantic information. Since the abstract and global semantic information makes it difficult for the network to correctly classify scene images with similar structures and high interclass similarity, it achieves a low classification accuracy. We propose a VHR remote sensing image classification model that uses extracts the global feature from the original VHR image using an EfficientNet-V2L CNN pre-trained to detect similar classes. The image is then classified using a multilayer perceptron (MLP). This method was evaluated using two benchmark remote sensing datasets: the 21-class UC Merced, and the 38-class PatternNet. As compared to other state-of-the-art models, the proposed model significantly improves performance.