• Microbiology and Biotechnology Letters
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• v.48 no.4
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• pp.399-422
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• 2020

Remediating soils contaminated with heavy metals due to urbanization and industrialization is very important not only for human health but also for ecosystem sustainability. Of the available remediation technologies for heavy metal-contaminated soils, phytoremediation is a relatively low-cost environment-friendly technology which preserves biodiversity and soil fertility. The application of plant growth-promoting bacteria (PGPB) during the phytoremediation of heavy metal-contaminated soils can enhance plant growth against heavy metal toxicity and increase heavy metal removal efficiency. In this study, the sources of heavy metals that have adverse effects on microorganisms, plants, and humans, and the plant growth-promoting traits of PGPB are addressed and the research trends of PGPB-assisted phytoremediation over the last 10 years are summarized. In addition, the effects of environmental factors and PGPB inoculation methods on the performance of PGPB-assisted phytoremediation are discussed. For the innovation of PGPB-assisted phytoremediation, it is necessary to understand the behavior of PGPB and the interactions among plant, PGPB, and indigenous microorganisms in the field.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.6
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• pp.66-74
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• 2018

Recently, there has been active studies on hand gesture recognition to increase immersion and provide user-friendly interaction in a virtual reality environment. However, most studies require specialized sensors or equipment, or show low recognition rates. This paper proposes a hand gesture recognition method using Deep Learning technology without separate sensors or equipment other than camera to recognize static and dynamic hand gestures. First, a series of hand gesture input images are converted into high-frequency images, then each of the hand gestures RGB images and their high-frequency images is learned through the DenseNet three-dimensional Convolutional Neural Network. Experimental results on 6 static hand gestures and 9 dynamic hand gestures showed an average of 92.6% recognition rate and increased 4.6% compared to previous DenseNet. The 3D defense game was implemented to verify the results of our study, and an average speed of 30 ms of gesture recognition was found to be available as a real-time user interface for virtual reality applications.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.3
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• pp.93-104
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• 2010

The advent of various mobile devices and mobile services has caused diversification of information stored in a mobile device, e.g., SMS, photos, movies, addresses, e-mails, digital certificates, and so on. Because mobile devices are lost or stolen easily, user authentication is critical to protect the information stored in mobile devices. However, the current user authentication methods using Personal Identification Numbers (PINs) and passwords are vulnerable to Shoulder Surfing Attacks (SSAs), which enables an attacker to obtain user's information. Although there are already several SSA-resistant authentication methods in the literature, most of these methods lack of usability. Moreover, they are not suitable for use in mobile devices. In this paper, we propose a user friendly password input method for mobile devices which is secure against SSA. We also perform user tests and compare the security and usability of the proposed method with those of the existing password input methods.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.27-38
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• 2023

The purpose of this study is to shed light on the relationship between perceived value(PV), attitude toward the exhibition(ATYCSE), and behavioral intention toward the exhibition(BITYCSE) through literature review and quantitative research, focusing on <Yumi's Cells Special Exhibition (2020)> as an Instagrammable exhibition. The exhibition has strong entertainment experience quality, and taking pictures has a positive correlation with the satisfaction as well as the immersion, while sharing the viewing experience on Instagram does not influence on the ATYCSE in terms of the PV. Satisfaction also has meaningful correlations with the immersion and the detail factors of BITYCSE. In particular, it can be confirmed that the storytelling factor occupied a superiority over the exhibit factors or the exhibition environment of the Instagram-friendly exhibition, and through this, the importance of storytelling was confirmed. This research unveils implications for the influence of the interactivity and participatory features of the Instagrammable exhibition on the ATYCSE as a potential factor of PV, and the importance of storytelling in Instagrammable exhibitions.

• Journal of Marine Bioscience and Biotechnology
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• v.14 no.2
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• pp.133-142
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• 2022

The increased production and consumption of polyethylene terephthalate (PET)-based products over the past several decades has resulted in the discharge of countless tons of PET waste into the marine environment. PET microparticles resulting from the physical erosion of general PET wastes end up in the ocean and pose a threat to the marine biosphere and human health, necessitating the development of new technologies for recycling and upcycling. Notably, enzyme-mediated PET degradation is an appealing option due to its eco-friendly and energy-saving characteristics. PETase, a PET-hydrolyzing enzyme originating from Ideonella sakaiensis, is one of the most thoroughly researched biological catalysts. However, the industrial application of PETase-mediated PET recycling is limited due to the low stability and poor reusability of the enzyme. Here we developed the whole-cell catalyst (WCC) in which functional PETase is attached to the outer membrane of Escherichia coli. Immunoassays are used to identify the surface-expressed PETase, and we demonstrated that the WCC degraded PET microparticles most efficiently at 30℃ and pH 9 without agitation. Furthermore, the WCC increased the PET-degrading activity in a concentration-dependent manner, surpassing the limited activity of soluble PETase above 100 nM. Finally, we demonstrated that the WCC could be recycled up to three times.

• Computers and Concrete
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• v.30 no.2
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• pp.99-111
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• 2022

In this study, deep learning and k-Nearest Neighbor (kNN) models were used to estimate the sorptivity and freeze-thaw resistance of self-compacting mortars (SCMs) having binary and ternary blends of mineral admixtures. Twenty-five environment-friendly SCMs were designed as binary and ternary blends of fly ash (FA) and silica fume (SF) except for control mixture with only Portland cement (PC). The capillary water absorption and freeze-thaw resistance tests were conducted for 91 days. It was found that the use of SF with FA as ternary blends reduced sorptivity coefficient values compared to the use of FA as binary blends while the presence of FA with SF improved freeze-thaw resistance of SCMs with ternary blends. The input variables used the models for the estimation of sorptivity were defined as PC content, SF content, FA content, sand content, HRWRA, water/cementitious materials (W/C) and freeze-thaw cycles. The input variables used the models for the estimation of sorptivity were selected as PC content, SF content, FA content, sand content, HRWRA, W/C and predefined intervals of the sample in water. The deep learning and k-NN models estimated the durability factor of SCM with 94.43% and 92.55% accuracy and the sorptivity of SCM was estimated with 97.87% and 86.14% accuracy, respectively. This study found that deep learning model estimated the sorptivity and durability factor of SCMs having binary and ternary blends of mineral admixtures higher accuracy than k-NN model.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.5
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• pp.98-104
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• 2022

When processing parts, the cutting oil can improve the cooling performance of the workpiece and tool to increase the precision of the workpiece or extend the life of the tool and facilitate chip extraction. Since such cutting oil has a harmful effect on the environment and the human body due to additives such as sulfur, research on a minimum lubrication supply method using an eco-friendly oil is recently underway. The minimum lubrication supply method minimizes the amount of cutting oil used during processing and processes it, which can reduce the amount of cutting oil used, but has a problem in that cooling performance efficiency is poor. Therefore, this study conducted a study on mist cooling of lubricants to reduce the amount of cutting oil used and maximize the cooling effect of processing heat generated during tapping processing. Spray pressure, processing speed, direction, and lubricant spray amount, which are considered to have an effect on cooling performance, were set as process conditions, and the effect on temperature was analyzed by performing an experiment using the box benquin method among experiments were analyzed. Through the experimental analysis results, the optimal conditions for mist and processing that maximize the cooling effect were derived, and the validity of the results derived through additional experiments was verified. In the case of processing by applying the mist lubrication method verified through this study, it is considered that high-precision processing is possible by improving the cooling effect.

• Journal of Ecology and Environment
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• v.46 no.2
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• pp.144-153
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• 2022

Background: Bamboo forests provides benefits for nature and the welfare of the people of Turen in Malang Regency and Sumbermujur in Lumajang Regency. They interact with the forest to live through the development of forest potential based on local wisdom. This is believed to prevent various adverse impacts on the forest. Local wisdom is related to beliefs or/and taboos, ethics and rules, techniques and technology, as well as forest/ land management traditions carried out by the community in building, managing forests, and Turen springs in Malang Regency and Sumbermujur in Lumajang Regency. Therefore, it is important to study the potential of bamboo forests in Turen and Sumbermujur for ecotourism, the development of bamboo forest ecotourism in Turen and Sumbermujur based on local wisdom, and the potential of bamboo forests in Turen and Sumbermujur in sustainable spring conservation. Results: Bamboo forest ecotourism has become an attractive tourist attraction. It is also beneficial for environmental conservation and the welfare of the surrounding community. The potential of bamboo forests in ecotourism development consists of various types of old bamboo that are fertile which offer environmentally friendly tourism activities by prioritizing aspects of nature conservation and socio-cultural empowerment of the local community. This cannot be separated from the belief that bamboo has supernatural powers (as a protector), so they do not dare to take or damage the existing bamboo. This behavior has a positive impact on springs that are still sustainable. Conclusions: Therefore, the charm of the bamboo forest is a potential that can be developed through ecotourism based on local wisdom. The development of bamboo forest ecotourism based on local wisdom is able to meet the living needs of the surrounding community.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.15-31
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• 2023

This study aimed to propose a fashion design development method using the external and internal characteristics of the flower and bird paintings in traditional Korean folk paintings. As a research method, external and internal characteristics of folk paintings were examined through previous studies and literature research, and folk painting patterns were developed into digital textile designs. Five 3D digital fashion designs were proposed using the CLO 3D program. The external characteristics of folk paintings were as follows: simplification and planarization of object representation, diversification of viewpoints, ignorance of perspective and symmetrical enumeration, strong colors and contrast effects, and the simultaneous representation of time. The internal characteristics of folk paintings were as follows: symbolic meaning, the beauty of free humor, modest aesthetics, complexity of reality and fantasy, and desire of shamanism. The results are as follows. Firstly, the flower and bird painting was a decorative painting style that emphasized decorative beauty and was suitable for developing fashion designs with Korean originality because of the symbolic and internal meanings. Simple layouts and bold free-spirited representations were effective ways to fill the screen with objects and gave the pattern a decorative effect. Secondly, developing a virtual clothing prototype based on digital design method using the external and internal characteristics of folk paintings and producing realistic fashion designs suggest the integrated use of science and technology, embodying modern fashion through the combination of digital fashion content and traditional cultural content. Thirdly, as a result of the development of 3D digital fashion designs, an eco-friendly and sustainable fashion design methods with virtual clothing can suggest a design development method that saves time and cost in the fashion design process while considering the environment.

• Advances in nano research
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• v.15 no.5
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• pp.441-449
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• 2023

Heavy metals, widely present in the environment, have become significant pollutants due to their excessive use in industries and technology. Their non-degradable nature poses a persistent environmental problem, leading to potential acute or chronic poisoning from prolonged exposure. Recent research has focused on separating heavy metals, particularly from industrial and mining sources. Industries such as metal plating, mining operations, tanning, wood and chipboard production, industrial paint and textile manufacturing, as well as oil refining, are major contributors of heavy metals in water sources. Therefore, removing heavy metals from water is crucial, especially for safe water supply in swimming and water sports. Iron oxide nanoparticles have proven to be highly effective adsorbents for water contaminants, and efforts have been made to enhance their efficiency and absorption capabilities through surface modifications. Nanoparticles synthesized using plant extracts can effectively bind with heavy metal ions by modifying the nanoparticle surface with plant components, thereby increasing the efficiency of heavy metal removal. This study focuses on removing lead from industrial wastewater using environmentally friendly, cost-effective iron nanoparticles synthesized with Genovese basil extract. The synthesis of nanoparticles is confirmed through analysis using Transmission Electron Microscope (TEM) and X-ray diffraction, validating their spherical shape and nanometer-scale dimensions. The method used in this study has a low detection limit of 0.031 ppm for measuring lead concentration, making it suitable for ensuring water safety in swimming and water sports.