• Information Systems Review
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• v.10 no.2
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• pp.137-158
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• 2008

Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.

• Journal of Pharmaceutical Investigation
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• v.37 no.3
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• pp.137-148
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• 2007

Using a strain-controlled rheometer [Rheometrics Dynamic Analyzer (RDA II)], the steady shear flow properties of a semi-solid ointment base (vaseline) have been measured over a wide range of shear rates at temperature range of $25{\sim}60^{\circ}C$. In this article, the steady shear flow properties (shear stress, steady shear viscosity and yield stress) were reported from the experimentally obtained data and the effects of shear rate as well as temperature on these properties were discussed in detail. In addition, several inelastic-viscoplastic flow models including a yield stress parameter were employed to make a quantitative evaluation of the steady shear flow behavior, and then the applicability of these models was examined by calculating the various material parameters (yield stress, consistency index and flow behavior index). Main findings obtained from this study can be summarized as follows : (1) At temperature range lower than $40^{\circ}C$, vaseline is regarded as a viscoplastic material having a finite magnitude of yield stress and its flow behavior beyond a yield stress shows a shear-thinning (or pseudo-plastic) feature, indicating a decrease in steady shear viscosity as an increase in shear rate. At this temperature range, the flow curve of vaseline has two inflection points and the first inflection point occurring at relatively lower shear rate corresponds to a static yield stress. The static yield stress of vaseline is decreased with increasing temperature and takes place at a lower shear rate, due to a progressive breakdown of three dimensional network structure. (2) At temperature range higher than $45^{\circ}C$, vaseline becomes a viscous liquid with no yield stress and its flow character exhibits a Newtonian behavior, demonstrating a constant steady shear viscosity regardless of an increase in shear rate. With increasing temperature, vaseline begins to show a Newtonian behavior at a lower shear rate range, indicating that the microcrystalline structure is completely destroyed due to a synergic effect of high temperature and shear deformation. (3) Over a whole range of temperatures tested, the Herschel-Bulkley, Mizrahi-Berk, and Heinz-Casson models are all applicable and have an almostly equivalent ability to quantitatively describe the steady shear flow behavior of vaseline, whereas the Bingham, Casson,and Vocadlo models do not give a good ability.

• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.487-501
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• 2016

This study aims to establish basic data of operating status for ecological learning facilities in Korea, investigate their characteristics for operating methods, and present proposals for the efficient operation and management of ecological learning facilities. For this purpose, a list of ecological learning facilities in Korea was established and 50 facilities were surveyed about the current status regarding the operation and management. Based on the survey, operation form, interpreter and volunteer, visitor, budget and revenue, promotion method, and other items were analyzed. Concerning the operating forms, most of the facilities were direct-operated facilities by government, and they are operating mainly by officials. Visitors are mostly families on weekends, while kindergarten children are main visitors during weekdays. Most facilities have higher proportion of visitors nationwide, and they get information mainly from websites operated by facilities and related organization. The annual operating budget and revenue depend on the facility size and operating forms, and the direct-operated facilities by government use higher budget compared to commission-operated ones. For the efficient operation of ecological learning, expert with specialized knowledge should participate in the operation, and intuitive and informative websites should be established and continually managed. In addition, it is necessary to support revenue of by national and local governments and to secure external funding network like local companies and donation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.3
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• pp.263-271
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• 2016

On account of population aging and increasing cardiovascular disorders, acute cardiac arrest cases are escalating each year. In order to increase the survival rate of the patients, rapid cardiopulmonary resuscitation is necessary. For this reason, the government is expanding the supply of Automated External Defibrillators(AED). However, the AEDs cannot be effectively deployed to the incident cases that occur outdoors, for the installed AEDs are mostly located indoors. After analyzing the distribution of incident cases within the study area, about 11% of cardiac arrest incidents occurred in open spaces including sidewalks and residential areas. This study was conducted to increase the survival rate of the patients by allocating 41 additional AEDs in the study area using a GIS based location-allocation method. To conduct a feasibility study, the density of a senior floating population covered by the same number of AEDs placed at random and the density covered by the experiment were compared. In conclusion, having excluded outliers caused by geological and social factors, results showed that AEDs placed through GIS based location-allocation covered 5% more of the senior floating population density.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.218-223
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• 2020

This study examined the accessibility of emergency rooms according to the population density and distance in Daegu Metropolitan City to help improve the quality and emergency medical accessibility problems in Daegu Metropolitan City. To observe the geographical requirements, the number of population in eup, myeon, dong, available emergency, and available emergency compared to the population were mapped through the S-GIS of Statistics Korea to visualize the data based on the 3km radius. To determine the difference in accessibility to emergency rooms for each district in Daegu Metropolitan City, the data were analyzed by ANOVA and Scheffe. According to the average number of emergencies available in Daegu Metropolitan City within a 3-kilometer radius were 5.7 in Jung-gu, 5.0 in Nam-gu, 1.6 in Buk-gu, 0.4 in Dong-gu, 2.4 in Seo-gu, 0.9 in Suseong-gu, 3.5 in Dalseo-gu, and 0.1 in Dalseong-gun; there was a statistically significant difference (p<.001). The available emergency within a 3km radius and available emergency per 1,000 people were concentrated in the center. Therefore, it may be necessary to institute an urban emergency medical network by establishing a point that serves as an intermediate hub to provide emergency medical care to citizens far from the center.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.672-679
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• 2018

This paper describes a methodology for shape design using an optimal design system, whereas generally a three dimensional analysis is required for such designs. An automatic finite element mesh generation technique, which is based on fuzzy knowledge processing and computational geometry techniques, is incorporated into the system, together with a commercial FE analysis code and a commercial solid modeler. Also, with the aid of multilayer neural networks, the present system allows us to automatically obtain a design window, in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed optimal design system is successfully applied to evaluate the structures that are used. This study used a stress gauge to measure the maximum stress affecting the parts of the side housing bracket which are most vulnerable to cracking. Thereafter, we used a tool to interpret the maximum stress value, while maintaining the same stress as that exerted on the spot. Furthermore, a stress analysis was performed with the typical shape maintained intact, SM490 used for the material and the minimizing weight safety coefficient set to 3, while keeping the maximum stress the same as or smaller than the allowable stress. In this paper, a side housing bracket with a comparably simple structure for 36 tons was optimized, however if the method developed in this study were applied to side housing brackets of different classes (tons), their quality would be greatly improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7292-7301
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• 2014

With the development of IT Info-Communications technology, the vehicle with a combination of wireless-communication technology has resulted in significant research into the convergence of the component of existing traffic with information, electronics and communication technology. Intelligent Vehicle Communication is a Machine-to-Machine (M2M) concept of the Vehicle-to-Vehicle. The Vehicle-to-Infrastructure communication consists of safety and the ease of transportation. Security technologies must precede the effective Intelligent Vehicle Communication Structure, unlike the existing internet environment, where high-speed vehicle communication is with the security threats of a wireless communication environment and can receive unusual vehicle messages. In this paper, the Vehicle Identification number between the V2I and the secure message communication protocol was proposed using hash functions and a time stamp, and the validity of the vehicle was assessed. The proposed system was the performance evaluation section compared to the conventional technique at a rate VPKI aspect showed an approximate 44% reduction. The safety, including authentication, confidentiality, and privacy threats, were analyzed.

• Journal of the Korean association of regional geographers
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• v.12 no.1
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• pp.44-58
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• 2006

This study of Shintoism is to inquire the relationships between social-political ideology and place of Shinto shrine(神社). In Korea, the Shinto shrine was a place of the center of Japanese colonial policy that symbolized the goal of Japanese Imperialism. This was one of the strategies of "Japan and Korea Are One". Before the China and Japan War in 1937, the number of shrines amounted to 51 sites, 12 of them were closely related to open ports, and the others were located at inland major cities. They also were associated with railroad transportation systems that tied coast and inland major cities. This spatial distribution of shrines was so called "Shrine Network" that was essential in tracing Japanese invasion into Korea. It was an imperial place where Japanese residence and colonial landscape were combined together to show the strength of Japanese Imperialism. Most of shrines were located at a hill with a view on the slope of a mountain and honored Goddess Amaterasu and the Meiji Emperor. I presume from these facts that Shinto Shrine was a supervisionary organization for strategic purpose. The Jeonju Shrine was located on a small hill, Dagasan(65m) where commanded a splendid view of Jeonju city and honored Goddess Amaterasu and the Meiji Emperor. It was a place which was adjacent to Japanese residence and colonial landscape. The Dagasan was changed as a symbolic site for Japanese Imperialism. But, after liberation in 1945, the social-political symbol of the hill was changed. By the strong will of civil, there was a monument to the loyal dead and the national poet, Yi Byeng-gi placed for national identity at the site of the demolished Jeonju Shrine. Dagasan as a place of national identity, shows the symbolic decolonization and the changing ideology. After all, this shows that political ideology is represented in a place with landscape.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.58-79
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• 2020

Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1^st to 2^nd and 3^rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1^st (54.69%), 2^nd (73.52%), and 3^rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1^st (0.640), 2^nd (0.816), and 3^rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.

• Journal of Biomedical Engineering Research
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• v.38 no.6
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• pp.321-329
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• 2017

This paper presents a bone metastasis Detection algorithm on abdominal computed tomography images for early detection using fully convolutional neural networks. The images were taken from patients with various cancers (such as lung cancer, breast cancer, colorectal cancer, etc), and thus the locations of those lesions were varied. To overcome the lack of data, we augmented the data by adjusting the brightness of the images or flipping the images. Before the augmentation, when 70% of the whole data were used in the pre-test, we could obtain the pixel-wise sensitivity of 18.75%, the specificity of 99.97% on the average of test dataset. With the augmentation, we could obtain the sensitivity of 30.65%, the specificity of 99.96%. The increase in sensitivity shows that the augmentation was effective. In the result obtained by using the whole data, the sensitivity of 38.62%, the specificity of 99.94% and the accuracy of 99.81% in the pixel-wise. lesion-wise sensitivity is 88.89% while the false alarm per case is 0.5. The results of this study did not reach the level that could substitute for the clinician. However, it may be helpful for radiologists when it can be used as a screening tool.