• Korean Journal of Food Science and Technology
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• v.50 no.6
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• pp.614-620
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• 2018

A rice bran physically treated to increase the residual gamma amino butyric acid (GABA) content (200 mg/100 g) or its hot-water extract (200 mg/100 g) was added into a white pan bread, and changes in the physical properties including color, and volume and texture changes during storage at room temperature were examined. The addition of bran powders had negative effects on bread quality and storage stability whereas that of rice bran extract (RBE) improved the storage stability of bread. The lightness of bread crumbs decreased but the volume of bread slightly increased after addition of the RBE. The increase in crumb hardness during storage was retarded by the RBE addition. The residual concentration of GABA in bread was increased 38-fold when 20% of RBE was added. The addition of RBE to white pan bread improved the resistance to staling and health-promoting function because of GABA.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.1
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• pp.14-22
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• 2022

The purpose of this study is to provide evidence for discovering functional materials through the anti-inflammatory efficacy screening of randomly selected medicinal herbs. We prepared 70% ethanol extracts from 10 herbs and evaluated for the inhibitory effect of NO production on LPS-stimulated mouse macrophage cell line Raw 264.7. As a result, it was confirmed that the Chrysanthemi Zawadskii Herba (CZ) extract had the highest effect of inhibiting NO production induced by LPS. We therefore measured and compared NO inhibitory effects at different concentrations (10, 50, 250 ㎍/mL) of 70% ethanol and water extract of CZ. It was observed that both ethanol and water treatment groups inhibited NO production in a concentration-dependent manner in both ethanol and water treatment groups. In particular, it was confirmed that the CZ 70% ethanol extract (99.97%) had a higher NO inhibitory effect than the water extract (93.32%) in the high concentration (250 ㎍/mL) treatment group. There was no effect of CZ extract on cell viability at all concentrations used in the experiment. Moreover, it was shown that CZ ethanol extract remarkably inhibited the expression of VCAM-1 induced by TNF-𝛼, and it was slightly decreased even by treatment with water extract. This study suggests that Chrysanthemi Zawadskii Herba has potential as a functional substance that regulates vascular inflammation.

• Journal of the Korean Recycled Construction Resources Institute
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• v.10 no.3
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• pp.185-194
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• 2022

Coffee is one of the most consumed beverages in the world and is the second largest traded commodity after petroleum. Due to the great demand of this product, large amounts of waste is generated in the coffee industry, which are toxic and represent serious environmental problems. This study aims to study the possibility of recycling spent coffee grounds (SCG) as a mineral admixture by replacing the cement in the manufacturing of concrete. To recycle the coffee g rounds, the SCG was dried to remove moisture and fired in a kiln at 850 ℃ for 8 hours. Carbonized coffee grounds are produced as coffee grounds ash (CGA) through ball mill grinding. The chemical composition of the prepared coffee grounds ash was investigated using X-ray fluorescence (XFR). According to the chemical composition analysis, the major elements of coffee grounds ash are K₂O(51.74 %), CaO(15.92 %), P₂O₅(14.39 %), MgO(7.74 %) and SO₃(6.89 %), with small amounts of F₂O₃(0.66 %), SiO₂(0.59 %) and Al₂O₃(0.31 %) content. To evaluate quality and mechanical properties, substitutions of 5, 10, and 15 wt.% of coffee grounds ash (CGA) were tested. From the quality test results, the 28-day activity index of CGA5 reached 80 %, and the flow value ratio reached 96 %, which is comparable to the minimum requirement for second-grade FA. From the test results of the mortar, the optimal results have been found in specimens with 5 wt-% coffee grounds ash, showing good mechanical and physical properties.

• Smart Media Journal
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• v.12 no.7
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• pp.43-51
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• 2023

As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.

• Geophysics and Geophysical Exploration
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• v.26 no.3
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• pp.126-137
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• 2023

In this study, a recurrent neural network (RNN) was employed as a methodological approach to classify dolphin click signals derived from ocean monitoring data. To improve the accuracy of click signal classification, the single time series data were transformed into fractional domains using fractional Fourier transform to expand its features. Transformed data were used as input for three RNN models: long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM), which were compared to determine the optimal network for the classification of signals. Because the fractional Fourier transform displayed different characteristics depending on the chosen angle parameter, the optimal angle range for each RNN was first determined. To evaluate network performance, metrics such as accuracy, precision, recall, and F1-score were employed. Numerical experiments demonstrated that all three networks performed well, however, the BiLSTM network outperformed LSTM and GRU in terms of learning results. Furthermore, the BiLSTM network provided lower misclassification than the other networks and was deemed the most practically appliable to field data.

• Journal of the Korean Applied Science and Technology
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• v.40 no.2
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• pp.309-321
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• 2023

Chamaecyparis obtusa (C. obtusa) belongs to Cupressaceae and grows wild in southern area of Korea. C. obtusa has been used for furnitures because of the superior quality of the lumber and remaining branches and leaves were used for extraction of essential oil (C. obtusa oil). C. obtusa oil has numerous health effects, including anti-inflammation, antibacterial, deodorization, sedative effect. This study was performed to evaluate the effects of C. obtusa oil on anti-wrinkles, skin-barrier and moisturizing. First, DPPH and ABTS assay were conducted to evaluate antioxidant effect and C. obtusa oil showed significance scavenging activity on both radicals. And elastase activity was examined for anti-wrinkle effect. At the result, elastase activity was significantly reduced by C. obtusa oil. Next, real-time PCR was performed to evaluate gene expression. At the results, MMP-1 mRNA expression was significantly reduced by C. obtusa oil in HDF cells. In addition, filaggrin and HAS-2 mRNA expression significantly increased by C. obtusa oil in HaCaT cells. Taken together, these results indicate that C. obtusa oil has potential as a cosmetic material for anti-aging by enhancing anti-wrinkle, skin-barrier and moisturizing effects.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.177-185
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• 2017

In order to succeed in gifted education, it is necessary to educate teachers with professional skills and qualities that meet the psychological characteristics of gifted students and satisfy their educational desires. The purpose of this study is to explore the characteristics of the science/mathematics gifted students the preservice teachers who participated in the service learning in the hothousing center annexed to the university, and the direction in which the Korean hothousing should proceed. For this, the service learning was conducted in the hothousing institution targeting three students attending A education college for 12 weeks. As a result of study, the gifted children showed the outstanding cognitive, affective, and creative natures which were expressed positively or negatively according to the situation. The study participants recognized the teachers had a duty to admit the distinctive nature of the individual gifted children and to provide the specially contrived education for them for the qualitative improvement of the Korean hothousing. Simultaneously they thought the gifted children should be regarded as ordinary children before the gifted persons and treated as the children. The necessity for preservice teachers to take the hothousing lectures requisitely and provide the learning chance focusing on the practical contents beyond the hothousing teacher training was brought forward in order to develop the systematic hothousing curriculum.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.31-38
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• 2018

This study was conducted to investigate the possibility of biochar as an alternative medium to peatmoss using for Aster spathulifolius. We cultivated A. spathulifolius in four potting media with different mixing rates (v/v) of peatmoss (P) and biochar (B) as follows: B0+P3, B1+P2, B2+P1, and B3+P0 with vermiculite 3 + perlite 3. Also, we analyzed the chemical properties of media and the plant growth characteristics. The results were as follows: In case of media's chemical condition, B0+P3 and B1+P2 treatments showed higher tendency (p < 0.05). Plant height on B0+P3 and B1+P2 treatments was much higher than that on other treatments (p < 0.05). Root length on B1+P2 treatment was higher than on B0+P3 treatment (p < 0.05). B0+P3 and B1+P2 treatments showed higher number of leaves and dry biomass than other treatments. Therefore, our results support that Biochar : Peatmoss : Vermiculite : Perlite (1/3 : 2/3 : 1 : 1, v/v) could be a more economical potting medium for A. spathulifolius than peatmoss : vermiculite : perlite (1 : 1 : 1, v/v).

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.6
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• pp.22-29
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• 2023

In the evaluation of seismic performance for structural materials and components, the loading rate and axial force can have a significant impact. Due to time-delay effects between input and output displacements, It is difficult to apply high-rate displacement in cyclic tests and hybrid simulations. Additionally, the difficulty of maintaining a consistent vertical load in the presence of lateral displacement has limited fast and real-time tests performed while maintaining a constant vertical load. In this study, slow, fast cyclic tests and real-time hybrid simulations were conducted to investigate the rate dependency and the influence of vertical loads of Isolation Bearing. In the experiment, the FLB System including an Adaptive Time Series (ATS) compensation and a state estimator was constructed for real-time control of displacement and vertical load. It was found that the vertical load from the superstructure and loading rate can have a significant impact on the strength of the seismic isolation bearing and its behavior during an earthquake. When conducting experiments for seismic performance evaluation, they must be implemented to be similar to reality. This study demonstrates the excellent performance of the system built and used for seismic performance evaluation and enables accurate and efficient seismic performance evaluation.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.4
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• pp.91-97
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• 2023

Electrochemical (EC) CO₂ reduction is a promising method to convert CO₂ into valuable hydrocarbon fuels and chemicals ecofriendly. Here, we report on a facile method to synthesize surface-controlled SnO₂/Cu(OH)₂ nanowires (NWs) and its EC reduction of CO₂ to HCOOH and CO. The SnO₂/Cu(OH)₂ NWs (-16 mA/cm²) showed superior electrochemical performance compared to Cu(OH)2 NWs (-6 mA/cm²) at -1.0 V (vs. RHE). SnO₂/Cu(OH)₂ NWs showed the maximum Faradaic efficiency for conversion to HCOOH (58.01 %) and CO (29.72 %). The optimized catalyst exhibits a high C1 Faradaic efficiency stable electrolysis for 2 h in a KHCO₃ electrolyte. This study facilitates the potential for the EC reduction of CO₂ to chemical fuels.