• Smart Media Journal
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• v.13 no.1
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• pp.9-17
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• 2024

This study aims to develop an integrated agricultural distribution network management system to improve the quality, profit, and decision-making efficiency of agricultural products. We adopt two key techniques: crop maturity detection based on the YOLOX target detection algorithm and market price prediction based on the Prophet model. By training the target detection model, it was possible to accurately identify crops of various maturity stages, thereby optimizing the shipment timing. At the same time, by collecting historical market price data and predicting prices using the Prophet model, we provided reliable price trend information to shipping decision makers. According to the results of the study, it was found that the performance of the model considering the holiday factor was significantly superior to that of the model that did not, proving that the effect of the holiday on the price was strong. The system provides strong tools and decision support to farmers and agricultural distribution managers, helping them make smart decisions during various seasons and holidays. In addition, it is possible to optimize the distribution network of agricultural products and improve the quality and profit of agricultural products.

• Smart Media Journal
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• v.13 no.4
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• pp.57-64
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• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.199-204
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• 2023

Production technologies in the imaging sector are innovating continuously and due to the visual experiences of powerful screen effects using 3D technologies, the public is now pursuing higher quality and more realistic visual effects. 3D production software with greater performance to realize this are now flooding the market, but artificial manual work and traditional hand-painting HDRI production methods still exist. There are few studies on new methods using HDRI production software using the computer's high performance data operations. In order to improve HDRI pipelines, this study links the two technological points of 'Nuke' and 'Photoshop' and it reduced production time and the improvements of quality were verified by using pipelines with new convergence methods.

• Journal of the korean academy of Pediatric Dentistry
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• v.27 no.2
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• pp.185-191
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• 2000

The water-soluble glucan produced by Lactococcus lactis 1370 affects the formation of dental plaque by Streptococcus mutans. In this study the factors affecting the formation of water-soluble glucan were assessed as the optical density of culture supernatant of Lactococcus lactis 1370 in the spectrophotometer. 1. The optical density of culture supernatant was high when Lactococcus lactis 1370 was cultured in M17 broth with 5% sucrose, while being low in culture supernatant of Streptococcus mutans. 2. The optical density of culture supernatant was higher when Lactococcus lactis 1370 was cultured in M17 broth with 10% sucrose than when being cultured without sucrose (p<0.05), and was higher at pH 7 than pH 5 (p<0.05). 3. The optical density of culture supernatant was the highest at $37^{\circ}C$ among $32^{\circ}C,\;37^{\circ}C\;and\;42^{\circ}C$, and was higher in the anaerobic incubator than in the aerobic incubator (p<0.05). 4. The optical density of culture supernatant was the highest in the media containing 1.0mM $CaCl_2$ (p<0.05), 2.5mM KCl (p<0.05), and 1.6mM $MgCl_2$. 5. When Streptococcus mutans was cultured in the media containing a quarter culture supernatant of Lactococcus lactis 1370 grown in M17 broth, the mean weight of produced artificial plaque was 103.0mg on the wire, whereas being significantly reduced to 5.6mg in the media containing a quarter culture supernatant of Lactococcus lactis 1370 grown in M17 broth containing 5% sucrose (p<0.05). These results indicate that the water-soluble glucan is more formed by Lactococcus lactis 1370 in the media containing sucrose or under the adequate conditions for the growth of bacteria, and inhibits the formation of artificial plaque by Streptococcus mutans.

• Journal of the korean academy of Pediatric Dentistry
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• v.36 no.1
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• pp.62-70
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• 2009

The objective of this study was to measure the leaching of filler (Si, Ba) from nanofiller-contained composites (Palfique Estelite $sigma^{{R}}$ (Tokuyama Dental Corp., Tokyo, Japan), $Z-350^{{R}}$ (3M ESPE, USA), Ceram X duo $E3^{{R}}$, $D3^{{R}}$ (Dentsply, Konstanz, Germany)) under different conditions. The samples used for the study of leachable components were made by insertion of the material into a circular mold, 10 mm in diameter and 3.0 mm high. Each specimen was placed in a disposable polystyrene vial containing 5 mL of distilled water, artificial saliva or 0.1N NaOH and kept in an oven at $37^{\circ}C$. ; water and artificial saliva - 150 days, 0.1N NaOH - 15days. Inductively coupled plasma atomic emission spectroscopy (ICP-AES) was used to determine the amount of Si and Ba in the test solutions. 1. Filler leaching was significantly great in 0.1N NaOH among all samples(p<.0.001). 2. When samples were stored in the distilled water, Estelite showed the lowest amount of Si leaching. When samples were stored in the artificial saliva, Z-350 showed the lowest amount of Si leaching. 3. There were significant differences in filler leaching between 3 storage medias and composite resins(p<.0.001). 4. Si and Ba leaching occurred in greater proportion when samples were stored in the artificial saliva than distilled water. 5. There were significant interactions in monthly filler leaching between leaching in artificial saliva and in distilled water, as well as the interaction between storage medium and filler(p<.0001). These results indicate that a continuous filler leaching of nanofiller-contained composite resins was in storing aqueous solutions under over time.

• The Korean Journal of Mycology
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• v.27 no.2 s.89
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• pp.87-93
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• 1999

This study was conducted to investigate the morphological characteristics and cultural conditions for artificial fruiting body(synnemata) production of Paecilomyces japonica. In the morphological characteristics of P. japonica, the size of it's conidia was ranged from $5.0{\sim}1.5\;to\;7.9{\sim}2.4\;{\mu}m$. The artificial fruiting body showed yellow in color, shape was confirmed ellipsoidal or obovoid type, and the length was $50.6{\sim}104.5\;mm$. The mycelial growth on the PDA medium treated with pH7, at $25^{\circ}C$ was superior to that of other treatments. The formation period of an artificial fruiting body of P. japonica treated with polypropylene and glass bottle culture was 30 days and 50 days, respectively. The length and number of fruiting body was longer and higher in the polypropylene bottle culture than those of the glass bottle culture. As the results, the artificial fruiting body production in the polypropylene bottle increased 1.2g per bottle compared to that of the glass bottle. It also increased in $100{\sim}400\;lx$ illumination, whereas the elongation of synnemata, pinheading and fruiting body growth were inhibited by continuous use of 900 lx illumination. The results of these experiment indicated that fruiting body formation seemed to be lower as the light intensity increased. The fruiting body formation was also dependent on the light color. There was a higher incidence in red color light and fluorescent light treatment than that of incandescent and blue color light. The fruiting body of the naked barley medium had so much better growth compared to other media that it would be able to use for it's production. The growth of fruiting body was affected by $CO_2$ concentration. It increased after putting the lid on the bottle.

• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.71-79
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• 2018

This study was conducted to compare the physicochemical properties of newly developed artificial medium and conventional plug medium and to investigate the proper irrigation interval to produce the high quality tomato seedlings. The five existing artificial media (organic medium coir, mixed medium Tosilee and Q plug, and inorganic medium LC and rockwool) and four newly developed artificial medium (mixed medium TP-S1 and inorganic medium PU 14-S1, PU-7B, and PU 15-S1) were used to grow tomato 'Yegwang' with irrigation interval of one-day (14 times), two-day (7 times), and three-day (5 times) for 14 days. The pH was the significantly highest in the PU 15-S1. All growing medium measured were in the range of pH 5.17-6.90. EC was the highest in the Q plug. The initial germination rate was the highest in the PU 15-S1. The final germination rate and mean daily germination were not significantly different in all growing medium except for the PU 14-S1. Growth of tomato seedlings at 15 days after sowing was the greatest in the Q plug. At 29 days after sowing, seedlings were also the greatest in the Q plug, followed by rockwool and PU-7B. Also, growth was better in the one-day interval treatment. As a result, we confirmed the applicability of the artificial medium to tomato plug seedlings in this experiment, and seedlings were the greatest in the Q plug. Therefor, it is considered that adding nutrients to the artificial medium of the newly developed medium PU-7B, and applying the irrigation one-day interval can produces high quality tomato seedlings similar to using Q plug.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.836-848
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• 2019

This paper aims at providing a critical view over the cybernetics theory especially of first generation on which the artificial intelligence heavily depends nowadays. There has been a commonly accepted thought that the conception of artificial intelligence could not has been possible without being influenced by N. Wiener's cybernetic feedback based information system. Despite the founder of contemporary cybernetics' ethical concerns in order to avoid an increasing entropy phenomena(social violence, economic misery, wars) produced through a negative dynamics of the western modernity regarded as the most advanced form of humanism. In this civilizationally changing atmosphere, the newly born cybernetic technology was thus firmly believed as an antidote to these vices deeply rooted in humanism itself. But cybernetics has been turned out to be a self-organizing, self-controlling mechanical system that entails the possibility of telegraphing human brain (which are transformed into patterns) through the uploading of human brain neurons digitalized by the artificial intelligence embedded into computing technology. On this background emerges posthuman (or posthumanism) movement of which concepts have been theorized mainly by its ardent apostles like N. K. Hayles, Neil Bedington, Laurent Alexandre, Donna J. Haraway. The converging of NBIC Technologies leading to the opening of a much more digitalizing society has served as a catalyst to promote the posthuman representations and different narratives especially in the contemporary visual arts as well as in the study of humanities including philosophy and fictional literature. Once Bruno Latour wrote "Modernity is often defined in terms of humanism, either as a way of saluting the birth of 'man' or as a way of announcing his death. But this habit is itself modern, because it remains asymmetrical. It overlooks the simultaneous birth of 'nonhumaniy' - things, or objects, or beasts, - and the equally strange beginning of a crossed-out God, relegated to the sidelines."4) These highly suggestive ideas enable us to better understand what kind of human beings would emerge following the dazzlingly accelerating advancement of artificial intelligence technology. We wonder whether or not this newly born humankind would become essentially Homo Artificialis as a neuronal man stripping off his biological apparatus. However due to this unprecedented situation humans should deal with enormous challenges involving ethical, metaphysical, existential implications on their life.

• Journal of Mushroom
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• v.7 no.4
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• pp.156-162
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• 2009

These experiments were carried out to determine the optimal culture conditions for nine strains of collected Hatakeshimeji, Lyophyllum decastes (Fr.:Fr.) Sing. SPA 202 and SPA 205 strains were selected because mycelium grew fast and showed fine density. All strains showed fast mycelial growth and mycelial density on BC(Burke compost) media for 20 days of incubation. The optimal sawdust species for the mycelial growth were the fermented sawdusts of Quercus aliena and Populus deltoides. Spawn running period on the fermented sawdust substrate required 50 days at 20 to $25^{\circ}C$ and additional 7 days after soil casing. Cultivation period and temperature forprimordia formation and fruitbody development appeared from 10 to 11 days and from 7 to 8 days at 17 to $18^{\circ}C$ respectively. The length of pilei and stipes of SPA 202 harvested in optimal stage showed 60mm and 67mm, respectively. Yield of SPA 202 strain grown on fermented sawdust substrate was 130g per 1,100ml in bottle cultivation. The length of pilei and stipes of SPA 205harvested in optimal stage showed 51mm and 81mm, respectively. Yield of SPA 205 strain grown on fermented sawdust substrate was 129g per 1,100 ml in bottle cultivation. SPA 202 strain and SPA 205 strain in artificial bottle cultivation of Lyophyllum decastes used in fermented sawdust substrate were selected as themost appropriate strain in yield.

• Journal of Broadcast Engineering
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• v.26 no.1
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• pp.26-38
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• 2021

In this paper, DLKF (Deep Learning Keypoint Filtering), the deep learning-based keypoint filtering method for the rapidization of the image registration method for remote sensing images is proposed. The complexity of the conventional feature-based image registration method arises during the feature matching step. To reduce this complexity, this paper proposes to filter only the keypoints detected in the artificial structure among the keypoints detected in the keypoint detector by ensuring that the feature matching is matched with the keypoints detected in the artificial structure of the image. For reducing the number of keypoints points as preserving essential keypoints, we preserve keypoints adjacent to the boundaries of the artificial structure, and use reduced images, and crop image patches overlapping to eliminate noise from the patch boundary as a result of the image segmentation method. the proposed method improves the speed and accuracy of registration. To verify the performance of DLKF, the speed and accuracy of the conventional keypoints extraction method were compared using the remote sensing image of KOMPSAT-3 satellite. Based on the SIFT-based registration method, which is commonly used in households, the SURF-based registration method, which improved the speed of the SIFT method, improved the speed by 2.6 times while reducing the number of keypoints by about 18%, but the accuracy decreased from 3.42 to 5.43. Became. However, when the proposed method, DLKF, was used, the number of keypoints was reduced by about 82%, improving the speed by about 20.5 times, while reducing the accuracy to 4.51.