• Archives of Plastic Surgery
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• v.34 no.2
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• pp.141-148
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• 2007

Purpose: The object of this study was to evaluate the development of continuous osteogenic differentiation and bone formation after the subcutaneous implantation of the tissue-engineered bone, in vitro. Methods: Human adipose-derived stem cells were obtained by proteolytic digestion of liposuction aspirates. Adipose-derived stem cells were seeded in PLGA scaffolds after being labeled with PKH26 and cultured in osteogenic differentiation media for 1 month. The PLGA scaffolds with osteogenic stimulated adipose-derived stem cells were implanted in subcutaneous layer of four nude mice. Osteogenesis was assessed by RT-PCR for mRNA of osteopontin and bone sialoprotein(BSP), and immunohistochemistry for osteocalcin, and von Kossa staining for calcification of extracellular matrix at 1 and 2 months. Results: Implanted PLGA scaffold with adipose-derived stem cells were well vascularized, and PLGA scaffolds degraded and were substituted by host tissues. The mRNA of osteopontin and BSP was detected by RT-PCR in both osteogenic stimulation group and also osteocalcin was detected by immunohistochemistry at osteogenic stimulation 1 and 2 months, but no calcified extracellular deposit in von Kossa stain was found in all groups. Conclusion: In vivo, it could also maintain the characteristics of osteogenic differentiation that adipose-derived stem cells within PLGA scaffold after stimulation of osteogenic differentiation in vitro, but there were not normal bone formation in subcutaneous area. Another important factor to consider is in vivo, heterologous environment would have negative effect on bone formation as.[p1]

• Journal of Korean Neurosurgical Society
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• v.30 no.sup1
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• pp.37-43
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• 2001

Object : The rapid and early oxygen delivery to brain tissue was a common therapeutic method in the treatment of severe head injury patients. The purpose of this study was to investigate the effect of increased fraction of inspired oxygen in early stage of severe head injury. Methods : The parameters of research were CSF(cerebral spinal fluid) oxygen pressure($PcsfO_2$), lactate, pH, temperature, and CSF carbon dioxide pressure($PcsfCO_2$). We selected 28 patients with head trauma whose the Glasgow Coma Scale(GCS) score was less than 8 point at admission. All patients were mechanically ventilated and monitored with the commercial ICP monitoring device. Each of parameters was compared as increased fraction of inspired oxygen. In experimental cohort of 14 patients, the mean $PcsfO_2$ level was increased to $314.93{\pm}259.15mmHg$ by raising the $FiO_2$ from 40% to 100% for nine hours(p<0.05). And the mean CSF lactate level was decreased to $2.96{\pm}1.98mmol/L$ on 100% $FiO_2$ as compared with $5.98{\pm}3.25mmol/L$ on 40% $FiO_2$ in control group(p<0.05). The only above two parameters were showed statistically meaningful outcome. Conclusions : Although this study was performed in small cohort and short period, these results supports that increased inspired oxygen therapy in severe head injuried patients was recommended as a modality of treatment in future through the continuous survey.

• Journal of KIISE:Databases
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• v.28 no.4
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• pp.545-557
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• 2001

In this paper we propose a hierarchical classification algorithm based on rough membership function which can reason a new object approximately. We use the fuzzy reasoning method that substitutes fuzzy membership value for linguistic uncertainty and reason approximately based on the composition of membership values of conditional sttributes Here we use the rough membership function instead of the fuzzy membership function It can reduce the process that the fuzzy algorithm using fuzzy membership function produces fuzzy rules In addition, we transform the information system to the understandable minimal decision information system In order to do we, study the discretization of continuous valued attributes and propose the discretization algorithm based on the rough membership function and the entropy of the information theory The test shows a good partition that produce the smaller decision system We experimented the IRIS data etc. using our proposed algorithm The experimental results with IRIS data shows 96%~98% rate of classification.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.3
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• pp.173-186
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• 2013

Web-based map services provide various geographic information that users want to get by continuous updating of data. Those map services provide different information for a geographic object respectively. It causes several problems, and most of all various information cannot be integrated and provided. To resolve the problem, this paper proposes a system which can integrate diverse geographic information and provide users rich geographic information. In this paper, a hybrid schema matching (HSM) algorithm is proposed and the algorithm is a mixture of the adapter-based semantic processing method, static semantic management-based approach, and dynamic semantic management-based approach. A comparative evaluation is described to show effectiveness of the proposed algorithm. The proposed algorithm in this paper improves the accuracy of schema matching because of registration and management of schemas of new semantic information. The proposal enables vocabulary-based schema matching using various schemas, and it thus also supports high usability. Finally, the proposed algorithm is cost-effective by providing the progressive extension of relationships between schema meanings.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.1-11
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• 2021

In this paper, we explain the purpose of building a mobile app called "ARnetView" that can use the AR(augmented Reality)based calling function and AR based content creation function, and as well as an AR based data center that can share AR based video streaming and AR based contents on smartphones and tablet devices. For the AR(Augmented Reality) based data center implement, we have developed a mobile application and implemented a service system including an AR(augmented Reality) based calling function and AR based content production and AR based video streaming functions for real-time communication to connect a field technician and an expert so that the expert can see and discuss the situation in the field and technician and experts, they can draw digital annotation on mobile screen that accurately stick to 3D physical objects, allowing the expert to guide the technician step by step. In result, it provides a remote technical collaboration environment between field technician and expert. In addition, AR(Augmented Reality) collaboration service Platform was designed and implemented to increase work speed, efficiency, and utilization of advanced technicians, improve continuous productivity of equipment and facilities, maximize equipment and facility utilization, and strengthen industrial competitiveness. Therefore, through this, the AR collaboration service Platform can be applied to the industrial field, the medical field, and the entertainment/education field.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.45-52
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• 2021

In this paper, we proposed an Atrous Residual U-Net (AR-UNet) to improve the segmentation accuracy of semantic segmentation method based on U-Net. The U-Net is mainly used in fields such as medical image analysis, autonomous vehicles, and remote sensing images. The conventional U-Net lacks extracted features due to the small number of convolution layers in the encoder part. The extracted features are essential for classifying object categories, and if they are insufficient, it causes a problem of lowering the segmentation accuracy. Therefore, to improve this problem, we proposed the AR-UNet using residual learning and ASPP in the encoder. Residual learning improves feature extraction ability and is effective in preventing feature loss and vanishing gradient problems caused by continuous convolutions. In addition, ASPP enables additional feature extraction without reducing the resolution of the feature map. Experiments verified the effectiveness of the AR-UNet with Cityscapes dataset. The experimental results showed that the AR-UNet showed improved segmentation results compared to the conventional U-Net. In this way, AR-UNet can contribute to the advancement of many applications where accuracy is important.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1691-1697
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• 2018

There has been a steady study of unmanned vehicle. So far, continuous research has brought news of the commercialization of unmanned vehicle. In addition, it has been applied in a variety of fields with another industry. A lot of research has been done, too, to apply inert driving indoors. Using LoRa network, which is a network dedicated to IoT, unmanned vehicle control system that is applied to LoRa network from a small space, or from an office hospital to a factory, is installed to increase efficiency when the performs special tasks. This paper presents solutions to a variety of problems by using LoRa network, which is dedicated to IoT, to recognize an unmanned vehicle as a single object, to communicate with surrounding objects, and to receive information necessary for driving indoors from a cloud server.

• The Journal of Fisheries Business Administration
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• v.50 no.3
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• pp.31-42
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• 2019

This study aims to determine problems of the damage investigation system of aquaculture products resulting from natural disaster and to deduce improvement plans for such problems. The main problems revealed from this study were as follows: 1) detailed damage investigation is carried out only by one particular organization, 2) for aquaculture insurance subscribers another detailed damage investigation is conducted to reveal the causes of natural disaster by a joint investigator team formed according to a different legislation with a different purpose, 3) damage investigation is usually suffered from lack of labor, budget and time due to the restriction of natural damage to a certain period of season leading to the absence of quick reaction capability for irresistible natural disasters, and 4) there are no specified procedures and protocols for deciphering causes of a natural demage. The improvement plans to find solutions for such problems are as follows: 1) for the investigation, the object, method and role of the investigation organization should be clarified by improving the present legislation, 2) investigation methods for determining the demage causes should be systematized by making a manual to minimize disputes, and 3) supports for the investigation organization should be institutionalized to guarantee sufficient budget and manpower. Under the present circumstance with continuous natural damages, smooth procedures of damage compensation would lead to the management stability of aquaculture farms.

• Structural Engineering and Mechanics
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• v.70 no.4
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• pp.479-497
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• 2019

In the current code design, the use of a uniform internal pressure coefficient of cooling towers as internal suction cannot reflect the 3D characteristics of flow field inside the tower body with different ventilation rate of shutters. Moreover, extreme weather such as heavy rain also has a direct impact on aerodynamic force on the internal surface and changes the turbulence effect of pulsating wind. In this study, the world's tallest cooling tower under construction, which stands 210m, is taken as the research object. The algorithm for two-way coupling between wind and rain is adopted. Simulation of wind field and raindrops is performed iteratively using continuous phase and discrete phase models, respectively, under the general principles of computational fluid dynamics (CFD). Firstly, the rule of influence of 9 combinations of wind speed and rainfall intensity on the volume of wind-driven rain, additional action force of raindrops and equivalent internal pressure coefficient of the tower body is analyzed. The combination of wind velocity and rainfall intensity that is most unfavorable to the cooling tower in terms of distribution of internal pressure coefficient is identified. On this basis, the wind/rain loads, distribution of aerodynamic force and working mechanism of internal pressures of the cooling tower under the most unfavorable working condition are compared between the four ventilation rates of shutters (0%, 15%, 30% and 100%). The results show that the amount of raindrops captured by the internal surface of the tower decreases as the wind velocity increases, and increases along with the rainfall intensity and ventilation rate of the shutters. The maximum value of rain-induced pressure coefficient is 0.013. The research findings lay the basis for determining the precise values of internal surface loads of cooling tower under extreme weather conditions.

• The Journal of Korean Institute of Information Technology
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• v.17 no.6
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• pp.103-114
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• 2019

Moving-target detection using frequency-modulated continuous-wave (FMCW) radar systems has recently attracted attention. Detection tasks are more challenging with noise resulting from signals reflected from strong static objects or small moving objects(clutter) within radar range. Robust Principal Component Analysis (RPCA) approach for FMCW radar to detect moving objects in noisy environments is employed in this paper. In detail, compensation and calibration are first applied to raw input signals. Then, RPCA via Gradient Descents (RPCA-GD) is adopted to model the low-rank noisy background. A novel update algorithm for RPCA is proposed to reduce the computation cost. Finally, moving-targets are localized using an Automatic Multiscale-based Peak Detection (AMPD) method. All processing steps are based on a sliding window approach. The proposed scheme shows impressive results in both processing time and accuracy in comparison to other RPCA-based approaches on various experimental scenarios.