• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.629-639
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• 2011

This paper classifies factors that form Chinese contemporary art price which comes into the spotlight in the current fine art market and consider the characteristics that form price with Chinese art only. The data were analyzed applying hedonic price setting models which include market value as a dependent variable with the various characteristics that art includes as the individual factors. The result has found that Chinese contemporary art has the more effects on factors of artists than sales factors. The social factor is worthy of notice in that Chinese GDP jointly raised with the price of Chinese contemporary art. At this point that interest in and demand of Chinese contemporary art are higher, it is thought that the result of this study will raise comprehension and convincing purchase direction will be suggested to collectors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.739-744
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• 2020

This study evaluates the erosive potential and effects of mixed alcohols by analyzing the pH, titratable acidity, and fluorescence loss degree (△F). Following alcohol groups were investigated: Soju, Calamansi+soju, Yakult+soju, Cola+soju, and Energy drink+soju. The ratio of soju:beverage in the alcohol mixtures was 7:3. Ed. Notes: The sentence lacks clarity. Please review if the edit correctly portrays the meaning. If not, please revise appropriately. Measurement of the pH and titratable acidity (the amount of 1M NaoH solution required to raise to pH 5.5 (TA5.5) and 7.0 (TA7.0)) of alcohols was achieved by stirring with pH meter. The erosive effect of the alcohol mixtures on bovine tooth (△F) after 1, 2, 4, and 6 hours exposure were analyzed by quantitative light-induced fluorescence (QLF-D). All the mixed alcohols in this study showed an acidic pH, lower than 4.5. The average pH of mixed alcohols was 3.17 ± 0.50 whereas the pH of Soju was 8.6 ± 0.01. The TA5.5 and TA7.0 values of the mixed alcohols were 0.5~18 and 0.5~23.5, respectively. △F of the three tested mixed alcohol groups (except yakult+soju group) were observed to increase in a time-dependent manner. The calamansi mixed alcohol had the highest acidity potential and erosive effect among the tested groups. Taken together, the results indicate that the mixed alcohols have a strong erosive effect and potential on dental enamel.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.379-387
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• 2016

The goal of this research is to identify the planning techniques of high-rise housing estates applying a smart green city concept in order to understand the necessity of integrating 'planning & building' planning techniques and 'smart system' planning techniques and to analyze the current status of application. For the research, firstl, the definition of smart green city was established and high-rise housing estates planning was categorized according to a three space hierarchy, seven planning directions and 17 major features through literature review. Second, 28 'planning & building' planning techniques and 'smart system' planning techniques were derived through literature review and FGI analysis. Last, four cases in Multi-functional Administrative City were analyzed for the current status of application of planning techniques. In conclusion, planning techniques in 'Transportation Network', 'Environment-friendly layout planning of housing', 'Revitalization of green transportation', 'Utilization of new & renewable energy', 'Crime prevention and accident reduction', 'Use of high performance, and efficiency facility' main feature were identified as important planning techniques for Smart Green City and its implications were estimated.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.72-80
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• 2020

The information security industry is increasing in importance and market size due to the development of the fourth industry such as artificial intelligence, IoT and etc. This paper was analyzed the impact of the increasing information security industry on the domestic economy by using the Input-Output table. It was classified industrial sectors into information security products and information security services industries, and then reclassified the Input-Output table into 35 industries. And it was estimated the production inducement coefficient, the value-added inducement coefficient, employment inducement coefficient, and etc. The production inducement coefficients of the information security product and service industry are each 1.571, 1.802, and the value-added inducement coefficients of them are each 0.632, 0.997, and the employment inducement coefficients of them are each 2.494, 7.361. Only the value-added inducement coefficient of the information security service industry is slightly higher than the total industry, and the remaining inducement coefficients are all lower than the total industry. In addition, the information security product industry has no the forward and backward linkage effect, and the information security service industry has no the backward linkage effect. But it has the forward linkage effect. As a result of analyzing the economic ripple effect of the information security industry, the production inducement amounted to 359.9 trillion won, value-added inducement amounted to 164.8 trillion won, and employment inducement amounted to 803 thousand people.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.609-616
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• 2017

In this paper, we propose an algorithm to obtain more stable and high recognition rate by using left and right rotation information of input image in order to obtain a stable recognition rate in face recognition. The proposed algorithm uses the facial image as the input information in the web camera environment to reduce the size of the image and normalize the information about the brightness and color to obtain the improved recognition rate. We apply Principal Component Analysis (PCA) to the detected candidate regions to obtain feature vectors and classify faces. Also, In order to reduce the error rate range of the recognition rate, a set of data with the left and right $45^{\circ}$ rotation information is constructed considering the directionality of the input face image, and each feature vector is obtained with PCA. In order to obtain a stable recognition rate with the obtained feature vector, it is after scattered in the eigenspace and the final face is recognized by comparing euclidean distant distances to each feature. The PCA-based feature vector is low-dimensional data, but there is no problem in expressing the face, and the recognition speed can be fast because of the small amount of calculation. The method proposed in this paper can improve the safety and accuracy of recognition and recognition rate faster than other algorithms, and can be used for real-time recognition system.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.493-506
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• 2018

This paper proposes the OOPP(Optimized Online Portfolio Platform) design for the job seekers to search for the job competency necessary for employment and to write and manage portfolio online efficiently. The OOPP consists of three modules. First, JDCM(Job Data Collection Module) stores the help-wanted advertisements of job information sites in a spreadsheet. Second, CSM(Competency Statistical Model) classifies core competencies for each job by text-mining the collected help-wanted ads. Third, OBBM(Optimize Browser Behavior Module) makes users to look up data rapidly by improving the processing speed of a browser. In addition, The OBBM consists of the PSES(Parallel Search Engine Sub-Module) optimizing the computation of a Search Engine and the OILS(Optimized Image Loading Sub-Module) optimizing the loading of image text, etc. The performance analysis of the CSM shows that there is little difference in accuracy between the CSM and the actual advertisement because its data accuracy is 99.4~100%. If Browser optimization is done by using the OBBM, working time is reduced by about 68.37%. Therefore, the OOPP makes users look up the analyzed result in the web page rapidly by analyzing the help-wanted ads. of job information sites accurately.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.323-330
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• 2020

This paper proposes the road roughness based Braking Pressure Calculation System(BPCS) for an Autonomous Vehicle Stability. The system consists of an image normalization module that processes the front image of a vehicle to fit the input of the random forest, a Random Forest based Road Roughness Classification Module that distinguish the roughness of the road on which the vehicle is travelling by using the weather information and the front image of a vehicle as an input, and a brake pressure control module that modifies a friction coefficient applied to the vehicle according to the road roughness and determines the braking strength to maintain optimal driving according to a vehicle ahead. To verify the efficiency of the BPCS experiment was conducted with a random forest model. The result of the experiment shows that the accuracy of the random forest model was about 2% higher than that of the SVM, and that 7 features should be bagged to make an accurate random forest model. Therefore, the BPCS satisfies both real-time and accuracy in situations where the vehicle needs to brake.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1414-1419
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• 2015

A method for detecting a skin region on the image is generally used to detect the color information. However, If saturation lowered, skin detection is difficult because hue information of the pixels is lost. So in this paper, we propose a method of correcting color of lower saturation of skin region images by the lighting. Color correction process of this method is saturation image acquisition and low-saturation region classification, segmentation, and the saturation of the split in the low saturation region extraction and color values, the color correction sequence. This method extracts the low saturation regions in the image and extract the color and saturation in the region and the surrounding region to produce a color similar to the original color. Therefore, the method of extracting the low saturation region should be correctly preceding. Because more accurate segmentation in the process of obtaining a low saturation regions, we use a multi-threshold method proposed Otsu in Hue values of the HSV color space, and create a binary image. Our experimental results for 170 portrait images show a possibility that the proposed method could be used efficiently preprocessing of skin color detection method, because the detection result of proposed method is 5.8% higher than not used it.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1264-1272
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• 2015

This study was performed to compare the perceived importance and performance frequency of the core nursing skills between general and special department. Subjects were 182 nurses who work on the hospital. Data was collected using items made by Korean accreditation board of nursing education and analyzed by frequency, mean and t-test. There were differences of importance and frequencies about nursing core skill between general and special wards. Core nursing skills of general wards were higher importance on intradermal injection(p=.011), transfusion(p=.028), simple catheterization(p=.047), cleansing enema(p=<.001), preoperative and postoperative care(p=.035), management administration(p=.027) and oxygenation with cannular(p=.002) than special wards. Actual performance frequency core nursing skills of general wards were higher similar on transfusion(p=.002), intermittent tube feeding(p=.032), simple catheterization(p=<.001), cleansing enema(p=<.001), preoperative care(p=.001), postoperative care(p=<.001), management administration(p=.001), protection equipment for quarantine room and waste disposal(p=.021), oxygenation with cannular(p=<.001) than special wards. It is needed to develop efficient and sequential program to learning the nursing core skills for nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.915-923
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• 2007

Recently we can see many cases that the CRM Systems are implemented and operated in Hospitals. The reason for such situation is the management environments in medical service market is changing rapidly one hand, and on the other hand the competitions among the Hospitals became more severe. In this paper we try to present the factors and weights as index for the measurement of Hospital CRM's System Performance. To achieve this goal, we derived the primary factors for the success of the CRM Systems based on the precedent researches, and futhermore carry out the verification of the rightness of those factors. For the verification of the rightness of the factors, we employ the Structured-Model-Analysis Method of AMOS. This enhance the meaning of the analysis result of the factors. And we use the AHP method to compare the importance grade of each success factors, because the comparison of importance level of each success factor is very crucial for the measurement of the Hospital CRM's system performance. As a result, we derived the primary factors and analyzed the weights in this paper, which might be used as the guiding Index for the measurement of the Hospital CRM' System Performance.