• Management & Information Systems Review
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• v.4
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• pp.257-284
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• 2000

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

• Korean Journal of Medicinal Crop Science
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• v.1 no.2
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• pp.166-170
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• 1993

In order to determine the optimum planting density of Job's Tear, We investigatedagronomic characters, yield components and yields by using Ewon and Heuksuk cultivar. The characters, plant height, stem diameter, number of stems per $m^2$ and number of leaves per $m^2$, etc., were excellent in $60{\times}15cm$ planting space for the Ewon and Heuksuk local cultivar. Both the weight of 100 grains and that of 1 liter also higher for the Ewon local cultivar, and yield of stem and seed were the most excellent in $60{\times}15cm$ planting space for the Ewon and Heuksuk local cultivar. For the Ewon and Heuksuk, the analysis of variance for agronomic characters following the difference of planting density were acknowledged to be worth of attention.

• Journal of Genetic Medicine
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• v.7 no.1
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• pp.78-81
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• 2010

Pericentric inversion is not rare in humans and is usually benign. However, pericentric inversion can lead to production of an unbalanced recombinant and might be a cause of repetitive pregnancy loss. Pericentric inversion of chromosome 22 is rare and only a few cases have been reported. We report a case of inv(22)(p13q12) carrier who had history of repetitive pregnancy loss including three spontaneous abortions and one fetal hydrops in which the chromosomal complement was rec(22)dup(22q) inv(22)(p13q12)mat. The maternal inv(22) and fetal rec(22) were confirmed by fluorescence in situ hybridization using region-specific probes (TUPLE1 on 22q11.2 and ARSA on 22q13). Because the identification of inv(22) or rec(22) in conventional karyotyping might be easily overlooked, great attention and additional molecular tests are required for accurate diagnosis of inv(22) and rec(22).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2163-2170
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• 2009

We present an automated, energy minimized-based method for Lung parenchyma segmenting Chest Computed Tomography(CT) datasets. Deformable model is used for energy minimized segmentation. Quantitative knowledge including expected volume, shape of Chest CT provides more feature constrain to diagnosis or surgery operation planning. Segmentation subdivides an lung image into its consistent regions or objects. Depends on energy-minimizing, the level detail image of subdivision is carried. Segmentation should stop when the objects or region of interest in an application have been detected. The deformable model that has attracted the most attention to date is popularly known as snakes. Snakes or deformable contour models represent a special case of the general multidimensional deformable model theory. This is used extensively in computer vision and image processing applications, particularly to locate object boundaries, in the mean time a new type of external force for deformable models, called gradient vector flow(GVF) was introduced by Xu. Our proposed algorithm of deformable model is new external energy of GVF for exact segmentation. In this paper, Clinical material for experiments shows better results of proposal algorithm in Lung parenchyma segmentation on Chest CT.

• Journal of KIISE
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• v.43 no.7
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• pp.795-800
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• 2016

In image classification, recent CNNs compete with human performance. However, there are limitations in more general recognition. Herein we deal with indoor images that contain too much information to be directly processed and require information reduction before recognition. To reduce the amount of data processing, typically variational inference or variational Bayesian methods are suggested for object detection. However, these methods suffer from the difficulty of marginalizing over the given space. In this study, we propose an image-text integrated recognition system using active vision based on Spatial Transformer Networks. The system attempts to efficiently sample a partial region of a given image for a given language information. Our experimental results demonstrate a significant improvement over traditional approaches. We also discuss the results of qualitative analysis of sampled images, model characteristics, and its limitations.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.191-200
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• 2009

Location based services (LBSs) have drawn huge attention as the growing number mobile devices and wireless technology demand more pervasive information access. In LBSs, Constraint nearest neighbor queries are one of the important queries of human to fulfill his desired quickly through wireless technology. We propose new query processing of constrained nearest neighbor query on the air to support mobile clients which demand optimal uses of wireless broadcast channel and using minimum battery power of client. First we proposed NN query processing with constrained region and then explain the novel NN query processing with various types of constraints. We have proposed novel algorithms to support Constrained Nearest Neighbor queries on the air based on Distributed Spatial Index and Bitmap-based Spatial Index.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.54-54
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• 2010

Zinc oxide is metal oxide semiconductor with the 3.37 eV bandgap energy. Zinc oxide is very attractive materials for many application fields. Zinc Oxide has many advantages such as high conductivity and good transmittance in visible region. Also it is cheaper than other semiconductor materials such as indium tin oxide (ITO). Therefore, ZnO is alternative material for ITO. ZnO is attracting attention for its application to transparent conductive oxide (TCO) films, surface acoustic wave (SAW), films bulk acoustic resonator (FBAR), piezoelectric materials, gas-sensing, solar cells and photocatalyst. In this study, we synthesized ZnO nanoparticles and defined their physical and chemical properties. Also we studied about the application of ZnO nanoparticles as a photocatalyst and try to find a enhancement photocatalytic activity of ZnO nanorticles.. We synthesized ZnO nanoparticles using spray-pyrolysis method and defined the physical and optical properties of ZnO nanoparticles in experiment I. When the ZnO are exposed to UV light, reduction and oxidation(REDOX) reaction will occur on the ZnO surface and generate ${O_2}^-$ and OH radicals. These powerful oxidizing agents are proven to be effective in decomposition of the harmful organic materials and convert them into $CO_2$ and $H_2O$. Therefore, we investigated that the photocatalytic activity was increased through the surface modification of synthesized ZnO nanoparticles. In experiment II, we studied on the stability of ZnO nanoparticles in water. It is well known that ZnO is unstable in water in comparison with $TiO_2$. $Zn(OH)_2$ was formed at the ZnO surface and ZnO become inactive as a photocatalyst when ZnO is present in the solution. Therefore, we prepared synthesized ZnO nanoparticles that were immersed in the water and dried in the oven. After that, we measured photocatalytic activities of prepared samples and find the cause of their photocatalytic activity changes.

• Journal of Korean Neurosurgical Society
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• v.39 no.3
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• pp.176-182
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• 2006

Objective : This study concernes the usefulness of $^{11}C-methyl-L-and$ D-methionine[Met]-positron emission tomography[PET] for glioma grading and detection of recurrence in gliomas, compared with fluorine-18, 2-fluoro-deoxyglucose[FDG]-PET. Methods : Eighty patients underwent Met-PET study for evaluation of glioma : 37 astrocytomas [WHO grade II, 3; III, 8; IV, 26]. 27 oligodendrogliomas [WHO grade II, 16; III, 11]. and 12 suspicious recurrent gliomas. All images were taken within 2 weeks before operation. For suspicious recurrent cases on magnetic resonance images, both FDG-PET and Met-PET were performed. Results : In astrocytoma, Mean maximum standard uptake value[SUV] of region of interest[ROI] was not different between WHO grades [p=0.108]. but ROI/normal contralateral tissue SUV [T/N] ratio was statistically different between WHO grades [p=0.002]. T/N ratio was more closely related to visual scale than maximum SUV of ROI [p<0.001 and p=0.107 respectively]. In oligodendroglioma, there was no statistical difference between WHO grades in view of maximum SUV and T/N ratio. For recurrent gliomas, sensitivity of FDG-PET and Met-PET was 25% and 100%, while specificity of FDG-PET and Met-PET were 100% and 80%, respectively. Conclusion : Met-PET might be an appropriate tool for tumor grading in astrocytoma and be more sensitive for detection of recurrence in gliomas than FDG-PET.

• The Journal of Korean society of community based occupational therapy
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• v.4 no.2
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• pp.75-83
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• 2014

Objective : The purpose of this study is to find out the effects of a Home-based cognitive occupational therapy program conducted for the dementia patients in the initial stages living in Taebaek region in Gangwon-do. Methods : This study carried out Home-based cognitive occupational therapy intervention by 30 Occupational Therapy Dept. students and volunteers targeting 30 dementia patients in the initiative stages for eight sessions, once a week. To identify the change of cognitive function of the participants before and after the program, MMSE-K was used for measuring. Results : As a result of applying Home-based cognitive occupational therapy to the dementia patients in the initial stages, overall cognitive function improvement was demonstrated. Especially, statistically significant improvement was exhibited in orientation, memory retrieval, the concentration of attention, and language ability. Conclusion : The program for cognitive function improvement is considered to be usefully applied to intervention in the dementia patients. The development of various Home-based occupational therapy intervention programs is required in order to adopt the Home-based occupational therapy service in the future.

• Journal of Korean language education
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• v.28 no.4
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• pp.367-402
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• 2017

The current study seeks to understand the multi-faceted desires of language learners through the theoretical lens of imagined communities (Norton, 2001). Particularly, the study focuses on the learners of Korean language-one of the less commonly taught languages in the U.S. that has received relatively less attention in previous literature on second language motivation. The study analyzed and compared the narratives told by eleven Korean language learners in a post-secondary language program, and identified four types of imagined communities: Communities of K-pop Culture, Communities of Professionals, Communities of Korean Family and Relatives, and Communities of ethnic Koreans. The study found that these imagined communities were not restricted to a specific region or an ethnic group but encompassed various populations connected through the use of Korean language. The study also found variability within what has been readily labelled as heritage motivation (or motivation related to heritage), as well as striking differences between heritage language learners and non-heritage language learners in terms of their scope of imagination.