• Structural Engineering and Mechanics
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• v.69 no.1
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• pp.21-31
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• 2019

Optimizing composite structures to exploit their maximum potential is a realistic application with promising returns. In this research, simultaneous maximization of the fundamental frequency and frequency separation between the first two modes by optimizing the fiber angles is considered. A high-fidelity design optimization methodology is developed by combining the high-accuracy of finite element method with iterative improvement capability of metaheuristic algorithms. Three powerful nature-inspired optimization algorithms viz. a genetic algorithm (GA), a particle swarm optimization (PSO) variant and a cuckoo search (CS) variant are used. Advanced memetic features are incorporated in the PSO and CS to form their respective variants-RPSOLC (repulsive particle swarm optimization with local search and chaotic perturbation) and CHP (co-evolutionary host-parasite). A comprehensive set of benchmark solutions on several new problems are reported. Statistical tests and comprehensive assessment of the predicted results show CHP comprehensively outperforms RPSOLC and GA, while RPSOLC has a little superiority over GA. Extensive simulations show that the on repeated trials of the same experiment, CHP has very low variability. About 50% fewer variations are seen in RPSOLC as compared to GA on repeated trials.

• Steel and Composite Structures
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• v.32 no.4
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• pp.455-466
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• 2019

Despite the rapid advancement in computing resources, many real-life design and optimization problems in structural engineering involve huge computation costs. To counter such challenges, approximate models are often used as surrogates for the highly accurate but time intensive finite element models. In this paper, surrogates for first-order shear deformation based finite element models are built using a polynomial regression approach. Using statistical techniques like Box-Cox transformation and ANOVA, the effectiveness of the surrogates is enhanced. The accuracy of the surrogate models is evaluated using statistical metrics like $R^2$, $R^2{_{adj}}$, $R^2{_{pred}}$ and $Q^2{_{F3}}$. By combining these surrogates with nature-inspired multi-criteria decision-making algorithms, namely multi-objective genetic algorithm (MOGA) and multi-objective particle swarm optimization (MOPSO), the optimal combination of various design variables to simultaneously maximize fundamental frequency and frequency separation is predicted. It is seen that the proposed approach is simple, effective and good at inexpensively producing a host of optimal solutions.

• Applied Chemistry for Engineering
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• v.33 no.2
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• pp.216-221
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• 2022

Biocompatible polysaccharide coating technology can be a promising solution to overcome unexpected diseases caused by inflammatory reactions of metallic biomaterials (e.g., stent restenosis, etc.). However, due to their inherent hydrophilicity, it is difficult to maintain the coating layer for a long time in the physiological wet-environment. Herein, catechol functionalized hyaluronic acid was synthesized and introduced to the polymeric stent (polylactic acid) as the adhesive biocoating material. Surprisingly, even with the low degree of substitution of catechol (1.26%), a significant improvement in the underwater stability was observed, confirmed by capillary experiments and spectroscopic analysis. Our results may provide an insight into the positive role of catechol molecular adhesive group in the in-vivo stability of biocoating materials.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1276-1295
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• 2023

Sensor networks are now an essential aspect of wireless communication, especially with the introduction of new gadgets and protocols. Their ability to be deployed anywhere, especially where human presence is undesirable, makes them perfect choices for remote observation and control. Despite their vast range of applications from home to hostile territory monitoring, limited battery power remains a limiting factor in their efficacy. To analyze and transmit data, it requires intelligent use of available battery power. Several studies have established effective routing algorithms based on clustering. However, choosing optimal cluster heads and similarity measures for clustering significantly increases computing time and cost. This work proposes and implements a simple two-phase technique of route creation and maintenance to ensure route reliability by employing nature-inspired ant colony optimization followed by the fuzzy decision engine (FDE). Benchmark methods such as PSO, ACO and GWO are compared with the proposed HRCM's performance. The objective has been focused towards establishing the superiority of proposed work amongst existing optimization methods in a standalone configuration. An average of 15% improvement in energy consumption followed by 12% improvement in latency reduction is observed in proposed hybrid model over standalone optimization methods.

• Fashion & Textile Research Journal
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• v.25 no.2
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• pp.153-164
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• 2023

As interest in the environment and sustainability increases, a tendency to pursue eco-design is emerging. Sustainable design coincides with the Korean aesthetic sense of applying the principle of the circulation of nature. This study examined Korean traditional furniture, Bandaji, from the perspective of historical and cultural sustainability and extracted and adopted a sustainability-related motif. The purpose of this study was to develop a creative bag design that reflects Korean tradition and strengthens artistry. First, a bag was produced based on the morphological characteristics of Gyeonggi-do Bandaji. Second, though the original overall design was maintained, the decorative patterns were modified by, for example, increasing the number of ear decorations on the surface of the bag and reducing the number of traps. Third, a new geometric pattern was created for the surface of the bag; this entailed moving the position of the handle-shaped ear ornament and the leather. Fourth, new decorative patterns were drawn on the surface. This study is meaningful in that it presents a sustainable bag production methodology that reflects Korean aesthetics. It also showcases a designer's unique, creative, and artistic bag design. It is expected that design work inspired by Korean formative beauty will be an opportunity to simultaneously utilize and support various Korean cultural assets and artworks.

• CELLMED
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• v.12 no.4
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• pp.17.1-17.1
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• 2022

PoongLyuYak exists everywhere. If you read the poem and get inspired, it becomes poem Yak (詩藥, poem medicine). If you look at the picture and fall it, it becomes picture Yak. When you feel refreshed by travelling, it becomes travel Yak. Music, dance, movie, nature, etc. are very nice examples. Even a leisurely life of driving, eating out, and drinking coffee is good PoongLyuYak for the body. Whether you're alone or in a group, if you can enjoy it, it's good medicine. According to the logic of the windy and flowing world, anything that can transform one's emotions, whether happy, sad, or trivial, can be a PoongLyuYak. This PoongLyuYak may be more effective than oral medications, inhalants, ointments, or injections. Rather than simply watching, listening, or imitating others, the effect is enormous when participating directly and performing and creative activities. The pleasure of seeing Heung-min Son playing soccer is also a PoongLyuYak, but it can be more enjoyable and the medicinal effect is much greater if you enjoy soccer yourself. Here are some examples of PoongLyu medicines the authors took with the joy of creation.

• Smart Structures and Systems
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• v.33 no.1
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• pp.65-91
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• 2024

The use of five optimization techniques for the prediction of a strength-based concrete mixture's best-fit model is examined in this work. Five optimization techniques are utilized for this purpose: Slime Mold Algorithm (SMA), Black Hole Algorithm (BHA), Multi-Verse Optimizer (MVO), Vortex Search (VS), and Whale Optimization Algorithm (WOA). MATLAB employs a hybrid learning strategy to train an artificial neural network that combines least square estimation with backpropagation. Thus, 72 samples are utilized as training datasets and 31 as testing datasets, totaling 103. The multi-layer perceptron (MLP) is used to analyze all data, and results are verified by comparison. For training datasets in the best-fit models of SMA-MLP, BHA-MLP, MVO-MLP, VS-MLP, and WOA-MLP, the statistical indices of coefficient of determination (R²) in training phase are 0.9603, 0.9679, 0.9827, 0.9841 and 0.9770, and in testing phase are 0.9567, 0.9552, 0.9594, 0.9888 and 0.9695 respectively. In addition, the best-fit structures for training for SMA, BHA, MVO, VS, and WOA (all combined with multilayer perceptron, MLP) are achieved when the term population size was modified to 450, 500, 250, 150, and 500, respectively. Among all the suggested options, VS could offer a stronger prediction network for training MLP.

• Journal of the Korean Geographical Society
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• v.51 no.5
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• pp.613-632
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• 2016

The recent diagnosis of the Anthropocene challenges public understanding of nature as a pure and singular entity removed from society, as the diagnosis confirms the earth-changing force of humans. In geography, the nature-society divide has been critically interrogated long before the diagnosis of the Anthropocene, developing several ways of theorizing nature-society relations. This paper introduces a new frontier for such theoretical endeavors: more-than-human geography. Inspired by the material and performative turn in geography and the social sciences around the 2000s, more-than-human geographers have sought to re-engage with the livingness of the world in the study of nature-society relations. Drawing on actor-network theory, non-representational theory (NRT) and vitalism, they have developed innovative ways of thinking about and relating to nature through the key concepts of 'nonhuman agency' and 'affect'. While more-than-human geography has been extensively debated and developed in recent Euro-American scholarship on cultural and economic geography, it has so far received limited attention in Korean geographical studies on nature. This paper aims to address this gap by discussing the key concepts and seminal work of more-than-human geography. I first outline four theoretical strands through which nature-society relations are perceived in geography. I then offer an overview of more-than-human geography, discussing its theoretical foundations and considering ontologies, epistemologies, politics and ethics associated with nature-society relations. Then, I compare more-than-human geography with political ecology, which is the mainstream critical approach in contemporary environmental social sciences. I would argue that more-than-human geography further challenges and develops political ecology through its heightened attention to the affective capacity of nonhumans and the methodological ethos of doing a careful political ecology. I conclude by reflecting on the implications of more-than-human geography for Korean studies on nature-society relations.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.3 s.151
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• pp.412-424
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• 2006

This paper starts out with a review of the concepts of naturalism and natural clothes. Based on these concepts, the paper aims to create nature-friendly and high-value modem designs by grafting natural images from butterflies into human bodies. The images of butterflies are combined to show distinguished luxury and diversity with natural materials such as denim. As for the design technology, Adove Illustrator 10, Photoshop 7.0, and Prima Vision Textile Design System are used since they are very popular in the CAD system. The followings are the main findings of our research. Naturalism displays its objectivity based on its inherent interest in human nature and its factual description in scientific approaches with an intention to find a true meaning of human life in nature. Natural clothes can be defined as the clothes of natural silhouette which are made of pure materials in natural colors and dyes from natural motifs such as animals, plants or natural phenomena. We have realized that the visually distinguished looks of butterflies are indeed far more luxurious than those of any other insects and this visual distinction can be utilized to attract the attention from designers. Lastly, it turns out that the digital printing technique can create more variety in colors and design forms than the manual printing, thereby providing designers with more options and practicality.

• Fashion & Textile Research Journal
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• v.9 no.6
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• pp.613-625
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• 2007

Globalizing the Japanese fashion successfully, Hanae Mori's work awoke the western fashion world's nostalgia towards the East. Analyzing the aesthetic characteristics of Hanae Mori's clothes what kinds of aesthetic characteristic that her work had and what kinds of influences that she made in the modern fashion would provide substantial contribution of the world's modern fashion. This study provided forms and remarkable features of Japanese traditional custom, revealed Hanae Mori's life and her philosophies of fashion, and defined Hanae Mori's aesthetic characteristics by analyzing her work from 1970's until the retirement, July 2004. Methods of this study are completed by documentary records of Hanae Mori, research papers and fashion magazines that are published domestically and internationally, and collected materials from internet. The results of analysis are epitomized as below. Hanae Mori was the first Japanese fashion designer who expressed the characteristics of traditional Japanese custom with modernity sprit. In the 60's and 70's, especially in the U.S. and European fashion market, she inspired western fashion designers by her original sprit of art: combining Japanese tradition which showed distinctive color and spirit of nature and the western beauty. Hanae Mori created new dress molding from the Kimono's unstructured feature. Her layered look dressing, oblique adjustment and Obi, and others all enabled Mori to express Japanese image into modern fashion. Additionally, in terms of traditional Japanese image being acknowledged world-widely, she played a major contribution in world fashion by suggesting a new vision and raised several sensations in fashion artistry and modeling. Amongst her various patterns, Hanae Mori had butterfly patterns in most of her works, which was her representative symbol. This spoke for her strong will and senses of duty that wanting to inform beauty of Japanese women who were reflected in modern and graceful butterfly patterns. Flowers were another element that symbolized Mori. Using various flower motifs that bloomed in every different four seasons, she connected two images into her fashion; beauty of the nature and enlightening image of vibrating life. The aesthetic characteristics of Hanae Mori's clothes were defined as five: Japonism, naturalism, feminism, eroticism, and modernism. Japonism which is the spirit of Japanese, Mori used the concept to connect the East and the West. Naturalism represented harmony of the nature and the human. Feminism highlighted Eastern women's beauty. Eroticism emitted feminine attraction. Modernism represented simplicity and sophistication. Such aesthetic character illustrated Mori's original emotion that was based on Japanese spirit and she combined it with values of the East and the West. From the analysis of Mori's aesthetic characteristics, it is clearly recognizable her feministic beauty is emanated by her original emotion and sensibility.