• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.7
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• pp.646-652
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• 2016

This paper presents a tumor detection for breast cancer that utilizes two-dimensional(2D) image reconstruction with microwave tomographic imaging. The breast cancer detection system under development consists of 16 transmit/receive antennas, and the microwave tomography system operates at 1,700 MHz. The four types of breast(ED-, HD-, SC-, and FT-type) are used for image reconstruction. To solve a 2D inverse scattering problem, the method of moments(MoM) is employed for forward problem solving, and the simplex method employed as an optimization algorithm. The results of the reconstructed image show that the ED- and HD-types of breasts are well reconstructed, but SC- and FT-type breasts are not well because of the error including.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.6
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• pp.83-88
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• 2016

Over the last five years, 568 people have died while hiking according to 2015 statistics from the public safety ministry. Among those deaths, approximately 33% were due to loss of footing or falling. In this respect, the highly advanced functions of hiking boots should be considered to prevent these unfortunate accidents. For example, by utilizing the Internet of Things (IoT) and Information and Communications Technology (ICT), hiking boots equipped with a Global Positioning System (GPS) or vital signs monitoring systems should be considered. In addition, many challenges remain for the production of 3D printed hiking boots, because the functions of hiking boots are variable, which is important when handling changing terrains and situations. The design of customized hiking boots was introduced in this paper, and 3D printing applications for midsoles using a Porous Polymer Printing (PPP) method was also suggested to verify the possibility of manufacturing hiking boots.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.5
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• pp.55-61
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• 2007

In this paper, we propose a three-dimensional(3D) active shape models for medical image segmentation. In order to build a 3D shape model, we need to generate a point distribution model(PDM) and select corresponding landmarks in all the training shapes. The manual determination method, two-dimensional(2D) method, and limited 3D method of landmark correspondences are time-consuming, tedious, and error-prone. In this paper, we generate a 3D statistical shape model using the 3D model generation method of a distance transform and a tetrahedron method for landmarking. After generating the 3D model, we extend the shape model training and gray-level model training of 2D active shape models(ASMs) and we use the integrated modeling process with scale and gray-level models for the appearance profile to represent the local structure. Experimental results are comparable to those of region-based, contour-based methods, and 2D ASMs.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.273-273
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• 2017

Polyploidy has opened a new horizon for selection to sculpt a variety of new gene functions, traits, and lineages. The aim of this study was to investigate the efficacy of the colchicine concentration, temporal changes, and suitable material for inducing effective tetraploid plants of Codonopsis lanceolata. A total of 180 individuals from 16 treatment groups were germinated, and exposed to different concentrations of Colchicine. The plant height of the diploid (18.1 cm) was slightly shorter than that of the tetraploid (13.4 cm). The fresh weight of the main root in the diploid (0.5 g) was 4-fold higher than the tetraploid (2.2 g). The colchicine-treated plant regeneration rate in C. lanceolata was decreased at the elevated concentration of colchicine. A total of 126 individual plants were regenerated in the entire treatment group and tetraploid (2n=4x=32) plants were obtained. In particular, 5 individuals of the tetraploid plant were induced in the 0.05% colchicine for 6h, which is a higher rate (29.4%) than other regenerated plants. As in the seed treatment result, the plant height of the diploid was significantly higher (10.4 cm) than tetraploid. The root length of the tetraploid (10.1 cm) was longer than the diploid, and the root was also thicker. Taken together, the results obtained from the present study may be helpful for the efficient recovery of such polyploid plants through the in vitro application of colchicine, and may improve the productivity and breeding of C. lanceolata.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.131-131
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• 2017

Though the Platycodon grandiflorum, has a broad range of pharmacologic properties, but the mechanisms underlying these effects remain unclear. In order to profile proteins from the nodal segment, callus, root and shoot, high throughput proteome approach was executed in the present study. Two-dimensional gels stained with CBB, a total of 84 differential expressed proteins were confirmed out of 839 protein spots using image analysis by Progenesis SameSpot software. Out of total differential expressed spots, 58 differential expressed protein spots (${\geq}2-fold$) were analyzed using MASCOT search engine according to the similarity of sequences with previously characterized proteins along with the UniProt database. Out of 58 differential expressed protein, 32 protein spots were up-regulated such as ribulose-1,5-bisphosphate carboxylase, endoplasmic oxidoreductin-1, heat stress transcription factor A3, RNA pseudourine synthase 4, cysteine proteinase, GntR family transcriptional regulator, E3 xyloglucan 6-xylosyltransferase, while 26 differential protein spots were down-regulated such as L-ascorbate oxidase precursor, late embryogenesis abundant protein D-34, putative SCO1 protein, oxygen-evolving enhancer protein 3. However, the frequency distribution of identified proteins using iProClass databases, and assignment by function based on gene ontology revealed that the identified proteins from the explants were mainly associated with the nucleic acid binding (17%), transferase activity (14%) and ion binding (12%). Taken together, the protein profile may provide insight clues for better understanding the characteristics of proteins and its metabolic activities in various explants of this essential medicinal plant P. grandiflorum.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.132-132
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• 2017

Plants, including Platycodon grandiflorum have been used globally across varied cultures as a safe natural source of medicines. From time immemorial, humans have relied on plants that could meet their basic necessities such as food, shelter, fuel and health. This study was executed to profile proteins from the hormone induced diploid and tetraploid roots using high throughput proteome approach. Two dimensional gels stained with CBB, a total of 64 differential expressed proteins were identified from the diploid root using image analysis by Progenesis SameSpot software. Out of total differential expressed spots, 20 differential expressed protein spots ( ${\geq}1.5-fold$) were analyzed using LTQ-FTICR MS whereas a total of 13 protein spots were up regulated and 7 protein spots were down-regulated. However, in the case of tetraploid root, a total of 78 differential expressed proteins were identified from tetraploid root of which a total of 28 differential expressed protein spots (${\geq}1.5-fold$) were analyzed by mass spectrometry whereas a total of 16 protein spots were up regulated and a total of 12 protein spots were down-regulated. However, proteins identified using iProClass databases revealed that the identified proteins from the explants were mainly associated with the nucleic acid binding, oxidoreductase activity, transporter activity and isomers activity. The exclusive protein profile may provide insight clues for better understanding the characteristics of protein function and its metabolic activity that can help for the development of the nutritional and breeding aspects of this economically important medicinal plant.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.125-125
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• 2017

The roots of Platycodon grandiflorum are commonly used for treating bronchitis, asthma, tuberculosis, diabetes, and other inflammatory diseases. Since the molecular mechanism underlying the roots of the plant is unclear. Therefore, the present study was conducted to profile proteins from liquid cultured tetraploid roots of Platycodon grandi orum fl using high throughput proteome approach. Two-dimensional gels stained with CBB, a total of 659 differentially expressed proteins were identified from the liquid medium cultured tetraploid roots of which 32 proteins spots (${\geq}1.5-fold$) were sorted for mass spectrometry analysis. Out of these 32 proteins, a total of 15 proteins were up-regulated such as Serine carboxypeptidase-like 27, Transcription factor bHLH150, 60 kDa jasmonate-induced protein, Cytosolic Fe-S cluster assembly factor NBP35, Regulatory associated protein of TOR 2 and a total of 17 proteins were down-regulated such as Protein G1-like2, Phenylalanine ammonia-lyase, Fructokinase-2, Trihelix transcription factor GT-3a, Guanine nucleotide-binding protein alpha-1 subunit. However, the frequency distribution of identified proteins was carried out within functional categories based on molecular functions, cellular components, and biological processes. Functional categorization revealed that the most of the identified proteins from the explants were mainly associated with the nucleic acid binding, oxidoreductase, transferase activity, protein binding and hydrolase activity. In addition, the proteomic feedback of tetraploid roots of P. grandiflorum may potentially be used to understand the characteristics of proteins and their functions.

• Ecology and Resilient Infrastructure
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• v.7 no.1
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• pp.15-25
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• 2020

We've compared and conceptually evaluated the newly emerging concept of nature-based solutions (NbS's), in the aspect of water management, and existing similar solutions of different naming, all of which are based on ecosystem functions. In this study, it is found that NbS's seem significant and meaningful both educationally and understandably in the aspect that it can comprehensively cover and include the existing methodologies and solutions using the functions of natural ecosystem to socio-environmental challenges. It, however, seems not quite different from the broad-meaning of green infra, including Eco-DRR, in terms of the approaching methodologies in water management. The conceptual and spatial hierarchy of each practice in water management considered in this study can be expressed in the narrowing order of NbS-(EE)-BGI-(CRT)-GI-LID. Last, the term LID, which is the best management practice for storm water management in the development project, can be replaced with the term GI for clarification and less confusion both in academia and practice.

• Journal of Gastric Cancer
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• v.18 no.1
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• pp.99-107
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• 2018

Immunoglobulin G4-related disease (IgG4-RD) is an immune-mediated fibro-inflammatory disorder characterized by specific pathological findings and elevated serum IgG4 level. IgG4-RD in the stomach is rare, and occasionally diagnosed as gastric subepithelial tumor (SET) by endoscopy or computed tomography scan. Two female patients in the age group of 40-50 years were diagnosed with 4 cm sized gastric SET. One underwent laparoscopic gastric wedge resection. Another one had a history of subtotal gastrectomy for early gastric cancer and idiopathic thrombocytopenic purpura with oral steroids administration. She underwent a completion total gastrectomy with splenectomy for the gastric SET and ITP. The pathology showed storiform fibrosis, and IgG4 was positive in immunohistochemistry (IHC) stain. IgG4-RD is known as a medical disease that could be treated with oral steroids. The difficulty in preoperative diagnosis of the disease occasionally causes unnecessary gastric resection. Thus, preoperative diagnostic methods for IgG4-RD such as deep biopsy with IHC stain or magnetic resonance imaging are needed.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1176-1194
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• 2018

The object classification using the images' contents is a big challenge in computer vision. The superpixels' information can be used to detect and classify objects in an image based on locations. In this paper, we proposed a methodology to detect and classify the image's pixels' locations using enhanced bag of words (BOW). It calculates the initial positions of each segment of an image using superpixels and then ranks it according to the region score. Further, this information is used to extract local and global features using a hybrid approach of Scale Invariant Feature Transform (SIFT) and GIST, respectively. To enhance the classification accuracy, the feature fusion technique is applied to combine local and global features vectors through weight parameter. The support vector machine classifier is a supervised algorithm is used for classification in order to analyze the proposed methodology. The Pascal Visual Object Classes Challenge 2007 (VOC2007) dataset is used in the experiment to test the results. The proposed approach gave the results in high-quality class for independent objects' locations with a mean average best overlap (MABO) of 0.833 at 1,500 locations resulting in a better detection rate. The results are compared with previous approaches and it is proved that it gave the better classification results for the non-rigid classes.