• Journal of Digital Contents Society
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• v.14 no.4
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• pp.573-580
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• 2013

With the growth of the smart-devices and information & communication technology, information society has developed and information can be produced, spread and consumed at much faster pace easily. Hence, individuals can utilize wireless communication and smart-devices to create, share and consume information at anytime and anywhere. The growth of technology has allowed the large-scale transfer and sharing of image, sound and video data; it changed the users' data consumption pattern that was mainly consisted of the text. Therefore, the amount of data that an individual consumes increased significantly. The importance of finding and analyzing practical and necessary data among huge amount of data has arisen. In this study, the current status of Big Data is researched and analyzed and the method to utilize Big Data in the electronic trading field is suggested.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.1-11
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• 2017

The main source of water pollution in Doam Lake is turbid incoming water from upland fields in the upper watershed. The large scale, elevation, and slope of this region means that it is inaccessible, and it is difficult to collect information and update data. Field survey results show that there is a difference between classification of upland fields and grasslands in the cadastral data and land-cover map. In this study, MODIS NDVI was calculated from May 2000 to September 2015 in order to improve classification accuracy of upland fields.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.45-48
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• 2008

Using these systems, additional information on the paintings and exhibits may be provided in the forms of text, image, speech, and video However, at museums and exhibitions, many tourists are often interested in exhibits of some particular style, authors, or coteries. The proposed Augmented Reality based guidance system may guide the users to exhibits of their interest for selective viewing. Location of the next exhibit of interest may be informed to the users as well as additional multimedia information on the exhibits of interest Such information is shown on the Augmented Reality views of the user's display device. The proposed system is composed an Ultra-Mobile PC (UMPC), an inertia tracker, and a camera. In the beginning, the user may select his/her preference on the exhibits from the menu, and then the system starts guiding by showing the relative orientation, distance, and visual cue to find a next exhibit. When the user finds and locates the matching visual cue within a matching box of the display screen, the system provides multimedia information on the exhibit. According to the preliminary user test, the proposed system is convenient and useful for navigating through large-scale exhibition.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.599-608
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• 2017

Cracks on the asphalt road surface can affect the speed of the car, the consumption of fuel, the ride quality of the road, and the durability of the road surface. Such cracks in roads can lead to very dangerous consequences for long periods of time. To prevent such risks, it is necessary to identify cracks and take appropriate action. It takes too much time and money to do it. Also, it is difficult to use expensive laser equipment vehicles for initial cost and equipment operation. In this paper, we propose an effective detection method of road surface defect using ROI (Region of Interest) setting and cany edge detection method using UAV image. The results of this study can be presented as efficient method for road surface flaw detection and maintenance using UAV. In addition, it can be used to detect cracks such as various buildings and civil engineering structures such as buildings, outer walls, large-scale storage tanks other than roads, and cost reduction effect can be expected.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1512-1517
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• 2005

Soil particles from rainfall flow into reservoir and give lots of influence in water quality because the Even though techniques related with computer and communications are growing rapidly, it is true that efforts for hydrological survey and the management of its results have not been made enough to make use of the state-of-the-art technologies. Among the water-related techniques, measurement of river discharge is the most important one because these data are basic to almost every field of the hydrological science. In this research, a large-scale particle image velocimetry (LSPIV) unit has been designed and constructed to measure river discharge effectively In field conditions. Measured data using this unit is compared with the results recorded by the microwave water surface current meter (MWSCM) at the same location. The purpose of this research is to propagate the feasibility of using the MWSCM for river discharge velocimetry.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.477-486
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• 2008

Facial expression, which changes face geometry, usually has an adverse effect on the performance of a face recognition system. To improve the face recognition rate, we propose a normalization method of facial expression to diminish the difference of facial expression between probe and gallery faces. Two approaches are used to facial expression modeling and normalization from single still images using a generic facial muscle model without the need of large image databases. The first approach estimates the geometry parameters of linear muscle models to obtain a biologically inspired model of the facial expression which may be changed intuitively afterwards. The second approach uses RBF(Radial Basis Function) based interpolation and warping to normalize the facial muscle model as unexpressed face according to the given expression. As a preprocessing stage for face recognition, these approach could achieve significantly higher recognition rates than in the un-normalized case based on the eigenface approach, local binary patterns and a grey-scale correlation measure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2599-2613
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• 2015

Multi-index hashing (MIH) is the state-of-the-art method for indexing binary codes, as it di-vides long codes into substrings and builds multiple hash tables. However, MIH is based on the dataset codes uniform distribution assumption, and will lose efficiency in dealing with non-uniformly distributed codes. Besides, there are lots of results sharing the same Hamming distance to a query, which makes the distance measure ambiguous. In this paper, we propose a data-oriented multi-index hashing method (DOMIH). We first compute the covariance ma-trix of bits and learn adaptive projection vector for each binary substring. Instead of using substrings as direct indices into hash tables, we project them with corresponding projection vectors to generate new indices. With adaptive projection, the indices in each hash table are near uniformly distributed. Then with covariance matrix, we propose a ranking method for the binary codes. By assigning different bit-level weights to different bits, the returned bina-ry codes are ranked at a finer-grained binary code level. Experiments conducted on reference large scale datasets show that compared to MIH the time performance of DOMIH can be improved by 36.9%-87.4%, and the search accuracy can be improved by 22.2%. To pinpoint the potential of DOMIH, we further use near-duplicate image retrieval as examples to show the applications and the good performance of our method.

• Journal of The Korean Astronomical Society
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• v.51 no.3
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• pp.65-71
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• 2018

The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of $256{\times}256pixels$. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.

• The Journal of Sustainable Design and Educational Environment Research
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• v.16 no.3
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• pp.18-26
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• 2017

In order to realize the empathy of the local education community, the education local government should establish the brand design properly in accordance with the enterprise and the large-scale administrative agency and actively use it in the public design strategy and publicity strategy. And the identity and role of education local government that are differentiated from each other can be well communicated and help to achieve the vision. However, the development and utilization of brand design in the provincial education local government is sluggish. In this context, research on urban brand has been carried out variously, but there is no comprehensive analysis on change of education local government brand. The purpose of this research is to analyze the current characteristics of brand design in education local government in order to enhance the image of education direction and to enhance the brand value of education local government.

• Journal of the Korean Society of Costume
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• v.61 no.2
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• pp.72-87
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• 2011

The 21st century are seeing a large number of performing arts, and one of them, opera is evolving, transforming itself as one of total arts. Besides, the costume in performing art which play a major role in opera's visual impact, characterize figures, set the tone for performance and greatly contribute to the perfection of the stage. Under these circumstances, the study developed designs of stage costumes and built a full-scale production of the Magic Flute, one of three greatest Mozart operas. The opera based on a fiction, is still popular today since it is a fantastic fairy tale introducing moral and ethical lessons. The play's background itself is Egypt. But due to its fairy-take-like storyline, it has been performed focusing on various concepts rather than on costumes prepared through background research. As such, this study conducted research on designs of stage costumes that contains the element of Egypt and also take athleticism and comfort into consideration. The results derived from the study were as follows. First, traditional dresses of ancient Egypt were used as a basis while adding some modem touch in terms of forms or colors, which resulted in a new design. Second, a variety of images were captured using textures and colors that fit the characteristics of attributes of the figures. Third painting techniques were used to help highlight the symbolic image of Egypt-simple, not heavy and extravagant-with fairy-tale-like fantasy.