• Journal of Korea Soil Environment Society
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• v.3 no.1
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• pp.3-9
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• 1998

This paper presents soil-gas surveying technique to delineate an area contaminated with volatile organic compounds, which are common solvents and constituents of gasoline. The sampling method of soil-gas surveying is 1) grab sampling, which actively takes sample using a pump, or 2) passive sampling, which takes sample through diffusion in a trap filled with absorbent. The grab sampling shows the level of contamination at a certain location at a certain time, while the passive sampling shows the change in the contamination at a certain location. The analysis of soil gas can be performed with 1) a small portable detectors such as PID (photoionization detector) or FID (flame-ionization detector) to measure the total hydrocarbon in the soil gas, 2) a gas detector tube, which is filled with indicator reagents and changes its color with concentrations of the gas of interest, or 3) a portable GC (gas chromatograph), which can analyze different compounds simultaneously. The soil-gas surveying technique is a much less expensive method to investigate area contaminated volatile organic compounds and thus can be used as a screening tool to identify an area, which needs to be further investigated.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.91-102
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• 2010

It is very difficult that a previous surveillance system and vehicle detection system find objects on a limited and unstable illumination condition. This paper proposes a robust method of adaptively updating a reference background image for solving problems that are generated by the unstable illumination. The first input image is set up as the reference background image, and is divided into three block categories according to an edge component. Then a block state analysis, which uses a rate of change of the brightness, a stability, a color information, and an edge component on each block, is applied to the input image. On the reference background image, neighbourhood blocks having the same state of a updated block are merged as a block. The proposed method can generate a robust reference background image because it distinguishes a moving object area from an unstable illumination. The proposed method very efficiently updates the reference background image from the point of view of the management and the processing time. In order to demonstrate the superiority of the proposed stable manner in situation that an illumination quickly changes.

• Journal of the Korean institute of surface engineering
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• v.54 no.6
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• pp.340-347
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• 2021

Among various metal oxide semiconductors, ZnO has an excellent electrical, optical properties with a wide bandgap of 3.3 eV. It can be applied as a photocatalytic material due to its high absorption rate along with physical and chemical stability to UV light. In addition, it is important to control the morphology of ZnO because the size and shape of the ZnO make difference in physical properties. In this paper, we demonstrate synthesis of size-controlled ZnO tetrapods using an atmospheric pressure plasma system. A micro-sized Zn spherical powder was continuously introduced in the plume of the atmospheric plasma jet ignited with mixture of oxygen and nitrogen. The effect of plasma power and collection sites on ZnO nanostructure was investigated. After the plasma discharge for 10 min, the produced materials deposited inside the 60-cm-long quartz tube were obtained with respect to the distance from the plume. According to the SEM analysis, all the synthesized nanoparticles were found to be ZnO tetrapods ranging from 100 to 600-nm-diameter depending on both applied power and collection site. The photocatalytic efficiency was evaluated by color change of methylene blue solution using UV-Vis spectroscopy. The photocatalytic activity increased with the increase of (101) and (100) plane in ZnO tetrapods, which is caused by enhanced chemical effects of plasma process.

• Journal of Microbiology and Biotechnology
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• v.29 no.1
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• pp.114-126
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• 2019

This paper introduces three ways to determine host-guest complexation of cucurbit[7]uril (CB[7]) with homocysteine (Hcy). After preincubating Hcy and cysteine (Cys) with CB[7], Ellman's reagent (DTNB) was used to detect Hcy and Cys. Only Cys reacted with DTNB and Hcy gave a retarded color change. This suggests that the -SH group of Hcy is buried inside CB[7]. Human cystathionine ${\gamma}-lyase$ (hCGL) decreased the level of Hcy degradation after preincubating Hcy and CB[7]. These results suggest that the amount of free Hcy available was decreased by the formation of a Hcy-CB[7] complex. The immunological signal of anti-Hcy monoclonal antibody was decreased significantly by preincubating CB[7] with Hcy. The ELISA results also show that ethanethiol group ($-CH_2CH_2SH$) of Hcy, which is an epitope of anti-Hcy monoclonal antibody, was blocked by the cavity in CB[7]. Overall, CB[7] can act as a host by binding selectively with Hcy, but not Cys. The calculated half-complexation formation concentration of CB[7] was 58.2 nmol using Ellman's protocol, 97.9 nmol using hCGL assay and 87.7 nmol using monoclonal antibody. The differing binding abilities of Hcy and Cys towards the CB[7] host may offer a simple and useful method for determining the Hcy concentration in plasma or serum.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.29-35
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• 2021

License plate recognition plays a key role in intelligent transportation systems. Therefore, it is a very important process to efficiently detect the number and character areas. In this paper, we propose a method to effectively detect license plate number area by applying deep learning and semantic image segmentation algorithm. The proposed method is an algorithm that detects number and text areas directly from the license plate without preprocessing such as pixel projection. The license plate image was acquired from a fixed camera installed on the road, and was used in various real situations taking into account both weather and lighting changes. The input images was normalized to reduce the color change, and the deep learning neural networks used in the experiment were Vgg16, Vgg19, ResNet18, and ResNet50. To examine the performance of the proposed method, we experimented with 500 license plate images. 300 sheets were used for learning and 200 sheets were used for testing. As a result of computer simulation, it was the best when using ResNet50, and 95.77% accuracy was obtained.

• Journal of the Korean Recycled Construction Resources Institute
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• v.10 no.1
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• pp.56-65
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• 2022

This paper aims at estimating self-cleaning performance of mortar coated with photocatalytic suspension under various conditions. Experimental variables included the concentration (1.5 % and 3.0 %) of photocatalytic suspension for coating mortar specimen, the presence of hydrophilic agent in photocatalytic suspension, and applying the primer on the surface of mortar. The color change of methylene blue solution increased and accordingly self-cleaning performance increased as photocatalytic concentration increased. The presence of hydrophilic agent in photocatalytic suspension slightly decreased the self-cleaning performance compared to the conventional photocatalytic suspension. Test results also showed that mortar specimen including primer and specimen not including primer did not show significantly different self-cleaning performance. In addition, cracks on the surface of mortar specimens decreased as the photocatalytic concentration increased. Therefore, increase in cracks on the surface of mortar at different photocatalytic concentration might adversely affect the self-cleaning performance of mortar specimens.

• Analytical Science and Technology
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• v.19 no.6
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• pp.468-472
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• 2006

This paper was described that the preparation of polymetylmethacrylate (PMMA) microsphere and coating of vitamin C onto surface of the prepared PMMA microsphere for application of cosmetic materials. The PMMA microsphere with various sizes can be obtained by change of reaction condition such as reaction temperature and reaction time. The coating of vitamin C on the surface of PMMA microsphere by using cyclodextrin as binder can be achieved to 30 wt-% in water/ethanol mixture. The vitamin C coated with cyclodextrin was stabilized during 56 days at $40^{\circ}C$. The color of the coated Vitamin C was changed from white to dark yellow after 14 days at $40^{\circ}C$. The vitamin C coated with cyclodextrin on the surface of PMMA microsphere can be sufficiently used for cosmetic materials.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.3
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• pp.261-273
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• 2024

This paper is an experimental study on the improvement of smoke and flame detection from different materials with YOLO. For the study, images of fires occurring in various materials were collected through an open dataset, and experiments were conducted by changing the main factors affecting the performance of the fire object detection model, such as the bounding box, polygon, and data augmentation of the collected image open dataset during data preprocessing. To evaluate the model performance, we calculated the values of precision, recall, F1Score, mAP, and FPS for each condition, and compared the performance of each model based on these values. We also analyzed the changes in model performance due to the data preprocessing method to derive the conditions that have the greatest impact on improving the performance of the fire object detection model. The experimental results showed that for the fire object detection model using the YOLOv5s6.0 model, data augmentation that can change the color of the flame, such as saturation, brightness, and exposure, is most effective in improving the performance of the fire object detection model. The real-time fire object detection model developed in this study can be applied to equipment such as existing CCTV, and it is believed that it can contribute to minimizing fire damage by enabling early detection of fires occurring in various materials.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.973-981
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• 2022

'Shine Muscat' (Vitis labruscana Bailey x Vitis vinifera L.) grapes recently have been greatly favored in Korea, and as of 2022, account for 38.6% of the total grape market in Korea. However, there is a lack of research on post-harvest quality control appropriate to the unique characteristics of 'Shine Muscat'. In order to continuously increase domestic demand and exports in the future, it is essential to establish proper postharvest techniques. Essential oils have remarkable potential as biologically active and environmentally friendly antiseptics for the fruit industry. The objective of this study is to evaluate the effects of essential oils and aroma constituent treatment on fruit quality attributes of 'Shine Muscat' grapes in order to extend fruit quality during a simulated export period. A cluster of 'Shine Muscat' grapes was placed in a newly developed paper box container, and treated with rosemary essential oil, thyme essential oil, and linalool, along with an untreated control. The results showed no significant effect on fruit quality indices, such as cluster weight loss, berry firmness, soluble solids content, titratable acidity, sugar acid ratio, and color change, but showed a positive effect on the alleviation of berry shatter compared to the untreated control. In addition, rosemary oil treatment reduced the proportion of unhealthy berries. Therefore, the results indicated that the newly developed packaging container along with certain essential oil treatment could be applied as a promising packaging material for table grape export.

• Clean Technology
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• v.28 no.4
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• pp.323-330
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• 2022

Microfluidic paper-based analytical devices (μPADs) have recently been in the spotlight for their applicability in point-of-care diagnostics and environmental material detection. This study presents a double-sided printing method for fabricating 3D-μPADs, providing simple and cost effective metal ion detection. The design of the 3D-μPAD was made into an acryl stamp by laser cutting and then coating it with a thin layer of PDMS using the spin-coating method. This fabricated stamp was used to form the 3D structure of the hydrophobic barrier through a double-sided contact printing method. The fabrication of the 3D hydrophobic barrier within a single sheet was optimized by controlling the spin-coating rate, reagent ratio and contacting time. The optimal conditions were found by analyzing the area change of the PDMS hydrophobic barrier and hydrophilic channel using ink with chromatography paper. Using the fabricated 3D-μPAD under optimized conditions, Ni²⁺, Cu²⁺, Hg²⁺, and pH were detected at different concentrations and displayed with color intensity in grayscale for quantitative analysis using ImageJ. This study demonstrated that a 3D-μPAD biosensor can be applied to detect metal ions without special analysis equipment. This 3D-μPAD provides a highly portable and rapid on-site monitoring platform for detecting multiple heavy metal ions with extremely high repeatability, which is useful for resource-limited areas and developing countries.