• Journal of the Korean Society of Radiology
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• v.10 no.4
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• pp.255-261
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• 2016

In this study, among various factors having influence on SUV, we intended to compare and analyze the change of SUV using CT(4 type) and MRI(3 type) contrast agents which are commercialized now. We used Discovery 690 PET/CT(GE) and NEMA NU2 - 1994 PET phantom as experimental equipment. We have conducted a study as follows; first, we filled distilled water to phantom about two-thirds and injected radioisotope(18F-FDG 37 MBq), contrast agent. Second, we mixed CT contrast agent with distilled water and MRI contrast agent with that water separately. And then, we stirred the fluid and filled distilled water fully not to make air bubble. In emission scan, we had 15minutes scanning time after 40 minutes mixing contrast agent with distilled water. In transmission scan, we used CT scanning and its measurement conditions were tube voltage 120 kVp, tube current 40 mA, rotation time 0.5 sec, slice thickness 3.27 mm, DFOV 30 cm. Analyzing results, we set up some ROIs in 10th, 15th, 20th, 25th, 30th slice and measured SUVmean, SUVmax. Consequently, all images mixed 3 types of MRI contrast agent with distilled water have high SUVmean as compared with pure FDG image but there was no statistical significance. In SUVmax, they have high score and there was statistical significance. And other 4 images mixed 4 types of CT contrast agent with distilled water have significance in both SUVmean and SUVmax. Attenuation correction in PET/CT has been executed through various methods to make high quality image. But we figured out that using CT and MRI contrast agents before PET/CT scanning could make distortion of image and decrease diagnostic value. In that reason, we have to sort out the priority of examination in hospital not to disturb other examination's results. Through this process, we will be able to give superior medical service to our customers.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.151-162
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• 2014

One of the largest changes in retail business in Korea since the distribution market was opened in the mid 1990s is the appearance of foreign discount stores and the rapid growth of department stores. Discount stores and department stores have changed the structure of distribution business which has been primarily made up of traditional markets and supermarkets that have been the main retail markets in Korea. The retail business is changing from just a product purchasing place to a space where various values such as pleasure, happiness, etc. are provided. Therefore the purpose of this research is to grasp the effects that the shopping experience values at department stores have on the department brands, images, and awareness by means of theoretical and empirical research. Especially I classified the shopping experience values, an independent variable, into aesthetics, pleasures, consumers' interests, and services' excellence, and I verified whether they have a meaningful effects on the brand recognition and image, an endogenous variable, and the store royalty, a final various. A total of 235 questionnaires were used for analysis to test the research hypotheses. The positive analysis was done with SPSS 17.0K and AMOS 17.0 covariance structure analysis was performed. As a result, variables of the shopping experience values except consumers' interests seemed to have not only right influences on recognition and image, but also right influences on store royalty. Therefore this research shows that department store customers not only make use of department stores to buy products, but also visit department stores to get the values of pleasure and happiness, and that these aspects have a greater influence on the department store's image, recognition, or royalty in a sense.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.400-406
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• 2019

This study will explore the reenactment of visual special effects used in TV dramas. The subjects of the study are images that are reproduced in visual special effects through and . Accordingly, we looked at the changes in the way TV dramas were produced according to the times, and looked at the changes in the market. Also, we looked at cases of visual special effects of Korean dramas, and looked at expressions according to the degree of completion of visual special effects. For the purpose of the analysis of the research targets, the images of reproducibility and the flow through reality were analyzed. In the case of , the period setting is realistic, but visual special effects were used to maximize the actor's safety and expression, and in the case of , the visual effects were used to maximize the aesthetic of the period background. In addition, it can be seen that the visual special effects were used for the effect of PPL on the export of images. This shows that the emphasis of reality and image montage techniques are being used to pursue hyperrealism. It is now possible to actively express and use the beauty of TV dramas rather than technical limitations. In addition, the pursuit of realism can actively express the changing times of digital age. This is an active representation of the camera's angle, lighting, and perspective that coincides with the background. The environment of video production is crucial for realistic expressions. The study examined various visual directions and applications. In TV images, we looked at reproduction, which can make a natural period of time by combining. As a follow-up study, we are going to study the changes in the new quadratic image based on the present image representation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.633-639
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• 2018

High-resolution images using remote sensing (RS) is importance to secure for spatial classification depending on the characteristics of the complex and various factors that make up the river environment. The purpose of this study is to evaluate the accuracy of the classification results and to suggest the possibility of applying the high resolution hyperspectral images obtained by using the drone to perform spatial classification. Hyperspectral images obtained from study area were reduced the dimensionality with PCA and MNF transformation to remove effects of noise. Spatial classification was performed by supervised classifications such as MLC(Maximum Likelihood Classification), SVM(Support Vector Machine) and SAM(Spectral Angle Mapping). In overall, the highest classification accuracy was showed when the MLC supervised classification was used by MNF transformed image. However, it was confirmed that the misclassification was mainly found in the boundary of some classes including water body and the shadowing area. The results of this study can be used as basic data for remote sensing using drone and hyperspectral sensor, and it is expected that it can be applied to a wider range of river environments through the development of additional algorithms.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.58-63
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• 2020

This paper proposes the method for improving the localization accuracy of the mobile robot based on the stereo camera. To restore the position information from stereo images obtained by the stereo camera, the corresponding point which corresponds to one pixel on the left image should be found on the right image. For this, there is the general method to search for corresponding point by calculating the similarity of pixel with pixels on the epipolar line. However, there are some disadvantages because all pixels on the epipolar line should be calculated and the similarity is calculated by only pixel value like RGB color space. To make up for this weak point, this paper implements the method to search for the corresponding point simply by calculating the gap of x-coordinate when the feature points, which are extracted by feature extraction and matched by feature matching method, are a pair and located on the same y-coordinate on the left/right image. In addition, the proposed method tries to preserve the number of feature points as much as possible by finding the corresponding points through the conventional algorithm in case of unmatched features. Because the number of the feature points has effect on the accuracy of the localization. The position of the mobile robot is compensated based on 3-D coordinates of the features which are restored by the feature points and corresponding points. As experimental results, by the proposed method, the number of the feature points are increased for compensating the position and the position of the mobile robot can be compensated more than only feature extraction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.651-660
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• 2010

In this paper, we implement an efficient histogram-based prefiltering to compensate the illumination mismatches in regions between neighboring views. In multi-view video, such illumination disharmony can primarily occur on account of different camera location and orientation and an imperfect camera calibration. This discrepancy can cause the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be exploited to make up for these differences in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However general frames of multi-view video sequence are composed of several regions with different color composition and their histogram distribution which are mutually independent of each other. In addition, the location and depth of these objects from sequeuces captured from different cameras can be different with different frames. Thus we propose a new algorithm which classify a image into several subpartitions by its depth information first and then histogram matching is performed for each region individually. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional image-based algorithms.

• Archives of design research
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• v.12 no.4
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• pp.89-98
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• 1999

The application of tool which has grown rapidly by the age was used for the product development, however as today the computer digitalization has been fixed to the necessary process in every factory-made mass production, making the sensitive desire of designer the digitalization through systematic, rational information database building from the planning level of product to the final mass production in such a environment change. It should satisfy a variety of needs of consumer. The enterprise that hopes to get a winner in the present age brought in computer with useful tool to process information efficiently. The computer has displayed much more excellent computation ability than human to come up to their expectation and the growth of electronic technology was possible to make the computer's high-efficiency, economy and integration. No matter what we have a good economy and integration. No matter what we have a good information there is no meaning unless we are able to use it' so we should take it out by the our need. Therefore, this paper observes a future-oriented possibility of computer & Telecommunication in information society, information-oriented design environment and the trends of minimal and integrated computer. We will improve the designer's ability to develop a novel product that have the diversification of them using application, aiming at computer utilization and image identification design strategy of product in the age of network telecommunication.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1517-1526
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• 2021

With the recent global and domestic development of Earth observation satellites, the applications of satellite images have been widened. Research for improving the geometric accuracy of satellite images is being actively carried out. This paper studies the possibility of automated ground control point (GCP) generation for CAS-4 satellite, to be launched in 2025 with the capability of image acquisition at 5 m ground sampling distance (GSD). In particular, this paper focuses to check whether GCP chips with 25 cm GSD established for CAS-1 satellite images can be used for CAS-4 and to check whether optimalspatial resolution for matching between CAS-4 images and GCP chips can be determined to improve matching performance. Experiments were carried out using RapidEye images, which have similar GSD to CAS-4. Original satellite images were upsampled to make satellite images with smaller GSDs. At each GSD level, up-sampled satellite images were matched against GCP chips and precision sensor models were estimated. Results shows that the accuracy of sensor models were improved with images atsmaller GSD compared to the sensor model accuracy established with original images. At 1.25~1.67 m GSD, the accuracy of about 2.4 m was achieved. This finding lead that the possibility of automated GCP extraction and precision ortho-image generation for CAS-4 with improved accuracy.

• The Journal of the Acoustical Society of Korea
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• v.21 no.5
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• pp.471-477
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• 2002

Recently, lip-reading has been studied actively as an auxiliary method of automatic speech recognition(ASR) in noisy environments. However, almost of research results were obtained based on the database constructed in indoor condition. So, we dont know how developed lip-reading algorithms are robust to dynamic variation of image. Currently we have developed a lip-reading system based on image-transform based algorithm. This system recognize 22 words and this word recognizer achieves word recognition of up to 53.54%. In this paper we present how stable the lip-reading system is in environmental variance and what the main variant factors are about dropping off in word-recognition performance. For studying lip-reading robustness we consider spatial valiance (translation, rotation, scaling) and illumination variance. Two kinds of test data are used. One Is the simulated lip image database and the other is real dynamic database captured in car environment. As a result of our experiment, we show that the spatial variance is one of degradations factors of lip reading performance. But the most important factor of degradation is not the spatial variance. The illumination variances make severe reduction of recognition rates as much as 70%. In conclusion, robust lip reading algorithms against illumination variances should be developed for using lip reading as a complementary method of ASR.

• Management & Information Systems Review
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• v.36 no.4
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• pp.1-19
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• 2017

These days, the concept of creating shared value is drawn keen attentions to. This interest comes out of the expectation that Creating Shared Value(CSV) can offer an answer to some social issues by creating societal and economic values on the top of the achievements that existing Corporate Social Responsibility(CSR) has made. However, it is difficult to make a clear distinction between the achievements that the activities of CSR and CSV have made. In this regard, developing a methodology to make an actual proof analysis on the accomplishments of CSV and to verify customer's awareness of and attitude towards the CSV is necessarily required. A company needs to gain a competitive advantage in the marketplace as well as resolve a social issue by innovating value chain. The research has verified the cause and effect relationship between the CSV from the point of view of value chain and the purchase intention aroused by its economic, societal and cultural values through the company image and credibility with actual proof analysis and come up with following results. First, a societal and cultural value resulted in giving positive impact on a company's image, which implies that CSV activities can be the thin end of the wedge through which customers have a good image of the company involved in CSV. Second, a societal value makes a positive influence on the credibility of a company. In this regard, CSV should be recognized not just as a thing that generates a cost, but a way to win-win as well as future development. Third and last, the research results show that both company image and credibility influence on purchase intention. Considering that CSV generates a positive evaluation on a company that will ultimately cause continuous profit-making, the company's ultimate goal of activities, it should be approached from the perspective of making a mid-and-long term strategy.