• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3708-3728
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• 2021

Indian herbal plants are used in agriculture and in the food, cosmetics, and pharmaceutical industries. Laboratory-based tests are routinely used to identify and classify similar herb species by analyzing their internal cell structures. In this paper, we have applied computer vision techniques to do the same. The original leaf image was preprocessed using the Chan-Vese active contour segmentation algorithm to efface the background from the image by setting the contraction bias as (v) -1 and smoothing factor (µ) as 0.5, and bringing the initial contour close to the image boundary. Thereafter the segmented grayscale image was fed to a leaky capacitance fired neuron model (LCFN), which differentiates between similar herbs by combining different groups of pixels in the leaf image. The LFCN's decay constant (f), decay constant (g) and threshold (h) parameters were empirically assigned as 0.7, 0.6 and h=18 to generate the 1D feature vector. The LCFN time sequence identified the internal leaf structure at different iterations. Our proposed framework was tested against newly collected herbal species of natural images, geometrically variant images in terms of size, orientation and position. The 1D sequence and shape features of aloe, betel, Indian borage, bittergourd, grape, insulin herb, guava, mango, nilavembu, nithiyakalyani, sweet basil and pomegranate were fed into the 5-fold Bayesian regularization neural network (BRNN), K-nearest neighbors (KNN), support vector machine (SVM), and ensemble classifier to obtain the highest classification accuracy of 91.19%.

• Asia-Pacific Journal of Atmospheric Sciences
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• v.54 no.4
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• pp.587-598
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• 2018

The impacts of aerosol loading on surface precipitation from mid-latitude deep convective systems are examined using a bin microphysics model. For this, a precipitation case over north central Mongolia, which is a high-altitude inland region, on 21 August 2014 is simulated with aerosol number concentrations of 150, 300, 600, 1200, 2400, and $4800cm^{-3}$. The surface precipitation amount slightly decreases with increasing aerosol number concentration in the range of $150-600cm^{-3}$, while it notably increases in the range of $600-4800cm^{-3}$ (22% increase with eightfold aerosol loading). We attempt to explain why the surface precipitation amount increases with increasing aerosol number concentration in the range of $600-4800cm^{-3}$. A higher aerosol number concentration results in more drops of small sizes. More drops of small sizes grow through condensation while being transported upward and some of them freeze, thus increasing the mass content of ice crystals. The increased ice crystal mass content leads to an increase in the mass content of small-sized snow particles largely through deposition, and the increased mass content of small-sized snow particles leads to an increase in the mass content of large-sized snow particles largely through riming. In addition, more drops of small sizes increase the mass content of supercooled drops, which also leads to an increase in the mass content of large-sized snow particles through riming. The increased mass content of large-sized snow particles resulting from these pathways contributes to a larger surface precipitation amount through melting and collision-coalescence.

• The Korean Journal of Physiology and Pharmacology
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• v.25 no.2
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• pp.131-137
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• 2021

Aging is the process spontaneously occurred in living organisms. Cardiac fibrosis is a pathophysiological process of cardiac aging. Mangiferin is a well-known C-glucoside xanthone in mango leaves with lots of beneficial properties. In this study, rat model of cardiac fibrosis was induced by injected with 150 mg/kg/d D-galactose for 8 weeks. The age-related cardiac decline was estimated by detecting the relative weight of heart, the serum levels of cardiac injury indicators and the expression of hypertrophic biomakers. Cardiac oxidative stress and local inflammation were measured by detecting the levels of malondialdehyde, enzymatic antioxidant status and proinflammatory cytokines. Cardiac fibrosis was evaluated by observing collagen deposition via masson and sirius red staining, as well as by examining the expression of extracellular matrix proteins via Western blot analysis. The cardiac activity of profibrotic TGF-β1/p38/MK2 signaling pathway was assessed by measuring the expression of TGF-β1 and the phosphorylation levels of p38 and MK2. It was observed that mangiferin ameliorated D-galactose-induced cardiac aging, attenuated cardiac oxidative stress, inflammation and fibrosis, as well as inhibited the activation of TGF-β1/p38/MK2 signaling pathway. These results showed that mangiferin could ameliorate cardiac fibrosis in D-galactose-induced aging rats possibly via inhibiting TGF-β/p38/MK2 signaling pathway.

• Nuclear Engineering and Technology
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• v.54 no.2
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• pp.514-522
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• 2022

Non-destructive testing (NDT) technology is a widely used inspection method for agricultural products. Compared with the conventional inspection method, there is no extensive sample preparation for NDT technology, and the sample is not damaged. In particular, NDT technology is used to inspect the internal structure of agricultural products infested by pests. The introduction and spread of pests during the import and export process can cause significant damage to the agricultural environment. Until now, pest detection in agricultural products and quarantine processes have been challenging because they used external inspection methods. However, NDT technology is advantageous in these inspection situations. In this pilot study, we investigated the feasibility of X-ray computed tomography (X-ray CT) and magnetic resonance imaging (MRI) to identify pest infestation in agricultural products. Three kinds of artificially pest-infested fruits (mango, tangerine, and chestnut) were non-destructively inspected using X-ray CT and MRI. X-ray CT was able to identify all pest infestations in fruits, while MRI could not detect the pest-infested chestnut. In addition, X-ray CT was superior to the quarantine process than MRI based on the contrast-to-noise ratio (CNR), image acquisition time, and cost. Therefore, X-ray CT is more appropriate for the pest quarantine process of fruits than MRI.

• The Korean Journal of Food And Nutrition
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• v.35 no.5
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• pp.389-397
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• 2022

A total of 51 vegetables and fruits, commonly consumed agriculture products in Korea, were analyzed for their α-carotene, β-carotene, and β-cryptoxanthin contents as provitamin A. The beta-carotene content (㎍/100 g) was high in a few green leaf vegetables such as coriander (5,924.07), gegeol radish leaf (5.855.72), and curried mallow (5,138.01), while α-carotene and β-cryptoxanthin contents were not detected. The β-carotene in 8 kinds of 20 general vegetables was detected in the range of 214.06~1,437.67 ㎍/100 g, while α-carotene was detected at 460.17 ㎍/100 g in only old pumpkin. The β-cryptoxanthin was detected in the range of 106.55~315.49 ㎍/100 g in Japanese elm, watermelon, white cucumber, and lettuce. However, carotenoids were not detected in 10 kinds of agricultural products including oriental melon, potato, etc. In fruits, the beta-carotene contents ranged from 165.72~3,997.39 ㎍/100 g, showing maximum value in apple mango and minimum value in persimmon. The β-cryptoxanthin was detected at 232.22 ㎍/100 g in only passion fruit, while the α-carotene was detected at 77.25 ㎍/100 g in only darae. Thus, based on the analyzed results of carotenoids of agriculture products consumed or cultivated in Korea, and it was found that green leaf vegetables comprise high beta-carotene overall.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.222-227
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• 2022

In this paper, we implemented a Korean text generation and classification model based on a deep learning algorithm that can be applied to various industries. It consists of two implemented GAN-based Korean handwriting generation models and CNN-based Korean handwriting classification models. The GAN model consists of a generator model for generating fake Korean handwriting data and a discriminator model for discriminating fake handwritten data. In the case of the CNN model, the model was trained using the 'PHD08' dataset, and the learning result was 92.45. It was confirmed that Korean handwriting was classified with % accuracy. As a result of evaluating the performance of the classification model by integrating the Korean cursive data generated through the implemented GAN model and the training dataset of the existing CNN model, it was confirmed that the classification performance was 96.86%, which was superior to the existing classification performance.

• Journal of Bio-Environment Control
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• v.28 no.2
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• pp.95-103
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• 2019

Temperature and relative humidity are important factors in crop cultivation and should be properly controlled for improving crop yield and quality. In order to control the environment accurately, we need to predict how the environment will change in the future. The objective of this study was to predict air temperature and relative humidity at a future time by using a multilayer perceptron (MLP). The data required to train MLP was collected every 10 min from Oct. 1, 2016 to Feb. 28, 2018 in an eight-span greenhouse ($1,032m^2$) cultivating mango (Mangifera indica cv. Irwin). The inputs for the MLP were greenhouse inside and outside environment data, and set-up and operating values of environment control devices. By using these data, the MLP was trained to predict the air temperature and relative humidity at a future time of 10 to 120 min. Considering typical four seasons in Korea, three-day data of the each season were compared as test data. The MLP was optimized with four hidden layers and 128 nodes for air temperature ($R^2=0.988$) and with four hidden layers and 64 nodes for relative humidity ($R^2=0.990$). Due to the characteristics of MLP, the accuracy decreased as the prediction time became longer. However, air temperature and relative humidity were properly predicted regardless of the environmental changes varied from season to season. For specific data such as spray irrigation, however, the numbers of trained data were too small, resulting in poor predictive accuracy. In this study, air temperature and relative humidity were appropriately predicted through optimization of MLP, but were limited to the experimental greenhouse. Therefore, it is necessary to collect more data from greenhouses at various places and modify the structure of neural network for generalization.

• Microbiology and Biotechnology Letters
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• v.50 no.3
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• pp.337-346
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• 2022

The purpose of this study was to investigate the antioxidant and anti-inflammatory activities of hot water (AMPW) and 70% ethanol (AMPE) extracts of apple mango (Mangifera indica L.) peel. The antioxidant activities were measured using a total polyphenol, electron-donating, 2,2'-azinobis [3-ethylbenzothiazoline6-sulfonic acid] (ABTS) radical scavenging assay. The total polyphenol content of AMPW and AMPE was 66.08 ± 0.62 mg TAE/100 g and 100.13 ± 0.23 mg TAE/100 g, respectively. As a result of measuring the electrondonating ability, at a concentration of 1,000 ㎍/ml, AMPW and AMPE showed an effectiveness of 86% and 94%, respectively. The ABTS assay showed 80% and 98% respective radical scavenging activity for AMPW and AMPE, at a concentration of 1,000 ㎍/ml. The cell viability on macrophage cells was performed using a 3-[4,5-dimethyl-thiazol-2-yl]-2,5-diphenyl-tetrazoliumbromide (MTT) assay, and the results showed more than 90% cell viability at a 100 ㎍/ml concentration. Anti-inflammatory activity was verified by confirming nitric oxide (NO) production inhibitory activity, inducible nitric oxide synthase (iNOS), and cyclooxygenase-2 (COX-2) protein and mRNA expression inhibitory activity from lipopolysaccharide (LPS)-treated RAW 264.7 cells. The NO production inhibitory effects were measured using the Griess assay, which confirmed 45% and 40% inhibition after treatment with AMPW and AMPE, respectively. Moreover, the protein and mRNA expression of inflammatory-related factors iNOS and COX-2, decreased in a concentrationdependent manner. In conclusion, this study showed antioxidant and anti-inflammatory effects of Mangifera indica L. peel and revealed its promising potential for application as an antioxidant and anti-inflammatory agent.

• Journal of Food Hygiene and Safety
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• v.21 no.2
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• pp.52-59
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• 2006

This survey was conducted to monitor the current status of pesticide residues in imported agricultural products circulated in Gwangju, 2005. A total of 108 samples was analyzed by multiresidue method. Of these samples, 32 were citrus fruits, 60 were tropical fruits and grapes, and 16 were vagetables. The origin was Philippine for 39 samples, U.S.A. for 36, China for 12, New Zealand for 11, Chile for 6, etc. The overall rate of detections was 30.6% and no samples had violative residues. Of citrus fruits,20 samples (62.5%) had residues and the residues were thiabendazole, imazalil, chlorpyrifos, etc. Of tropical fruits and grapes, 13 samples (12.0%) had residues and the residues were azoxystrobin, chlorpyrifos, carbendazim, captan, etc. 16 of vagetables had no detectable pesticide residues. Thiabendazole (71% in oranges and 56% in grapefruits) and imazalil (50% in oranges) were found in citrus fruits, which were frequently used as post-harvest pesticides. And azoxystrobin which is one of strobilurin fungicides, was often detected in mango, tropical fruit(27%).

• The Mathematical Education
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• v.59 no.4
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• pp.313-329
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• 2020

The purpose of this study was to develop an integrated teaching model that integrates mathematics and ethics with social justice theme centric approach. To solve the research problems, the investigator conducted literature studies on the 2015 revised mathematics curriculum, 2015 revised mathematics 3rd to 6th grade textbooks, and the 2015 revised ethics curriculum.. Based on the results of analysis, the mathematics and ethics integrated model for social justice was devised by using the three axes of mathematics subject, ethics subject, and social justice. The integrated class of mathematics and ethics for social justice consists of the steps of problem recognition (ME 1), analysis (ME 2), discussion (ME 3), inquiry and practice (ME 4), and it can be implemented in a total of 27 ways. In order to confirm the effectiveness of the integrated model, two classes of sixth grade were selected as experimental and comparative classes. As a result of the study, the integrated class of mathematics and ethics can be used as a tool to improve the value perception of mathematics, However, it should be conducted with full consideration of students' mathematical tendencies in advance. Also, it can improve students' social consciousness. However, practice and experience-oriented classes are effective to overcome 'reserved agency' problem. Finally, it can improve students' perception of integrated classes and their creative thinking and critical thinking skills.