• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.2
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• pp.48-56
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• 2012

One kind of crowdsourcing techniques which allow drivers to collect and provide traffic information using smartphones and applications is being introduced to ITS system as well. The introduction of crowdsourcing techniques requires changes in the existing ITS based on Insourcing which provide traffic information generated by detectors through VMS. ITS Information have had two problems, one is the high cost and the other is an interrupted service. Experts expect crowdsourcing technique which is created SNS, will overcome problems of ITS. But, there are not many examples and research results. Crowdsourcing technique was utilized in Jeju ATMS project to install ITS on the coastal round roads around Jeju since ITS to install point detectors turned out to be non-economic method in case of the coastal round roads with low traffic volume. However, there existed links in which traffic information cannot be generated as there were no smartphone users (crowds) even in the cost-effective crowdsourcing techniques, which indicates the fact that the crowdsourcing method is suitable for urban roads with many smartphone users, but not for local minor roads. On the contrary, insourcing-based ITS is considered to be non-economic method in applying to all roads in the city, but it can be effectively utilized in the local minor roads. Accordingly, Inter-sourcing based ITS operating system in which insourcing is connected with crowdsourcing was suggested in this study.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.163-180
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• 2022

Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

• Korean small business review
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• v.41 no.4
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• pp.87-110
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• 2019

The structural and sustainable implementation of the microfinance policy is required to be successful. To this end, the government should focus on availability and accessibility of the public microfinance, away from providing the beneficial financing (financial benefits)featured by the combination of the welfare and finance in the past. In addition, the government-sponsored microfinance needs to aim for performance-oriented evaluation that leads to stabilization of financial life of ordinary people or increase of income, moving away from conventional funding based on the scale and the quantity for the poor. It is necessary to implement the following policies in order for the Moon's administration to take the government-sponsored microfinance to the next level. The government-sponsored microfinance must be in the market failure domain, but nonetheless, it is required to be managed by structural and sustainable ways so that it complies with the market principles and does not crowd out the private microfinance. Last but not least, making the best use of the capital market function can be a way to fund social enterprises or social economy enterprises. This aims to enable catalyst capital in the capital market to play a prime role for the inflow of private capital for the purpose of creating the social value.

• KDI Journal of Economic Policy
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• v.30 no.1
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• pp.71-130
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• 2008

Using data from the Korean Labor & Income Panel Study (KLIPS), this study investigates private income transfers in Korea, where adult children have undertaken the most responsibility of supporting their elderly parents without well-established social safety net for the elderly. According to the KLIPS data, three out of five households provided some type of support for their aged parents and two out of five households of the elderly received financial support from their adult children on a regular base. However, the private income transfers in Korea are not enough to alleviate the impact of the fall in the earned income of those who retired and are approaching an age of needing financial assistance from external source. The monthly income of those at least the age of 75, even with the earning of their spouses, is below the staggering amount of 450,000 won, which indicates that the elderly in Korea are at high risk of poverty. In order to analyze microeconomic factors affecting the private income transfers to the elderly parents, the following three samples extracted from the KLIPS data are used: a sample of respondents of age 50 or older with detailed information on their financial status; a five-year household panel sample in which their unobserved family-specific and time-invariant characteristics can be controlled by the fixed-effects model; and a sample of the younger split-off household in which characteristics of both the elderly household and their adult children household can be controlled simultaneously. The results of estimating private income transfer models using these samples can be summarized as follows. First, the dominant motive lies on the children-to-parent altruistic relationship. Additionally, another is based on exchange motive, which is paid to the elderly parents who take care of their grandchildren. Second, the amount of private income transfers has negative correlation with the income of the elderly parents, while being positively correlated with the income of the adult children. However, its income elasticity is not that high. Third, the amount of private income transfers shows a pattern of reaching the highest level when the elderly parents are in the age of 75 years old, following a decreasing pattern thereafter. Fourth, public assistance, such as the National Basic Livelihood Security benefit, appears to crowd out private transfers. Private transfers have fared better than public transfers in alleviating elderly poverty, but the role of public transfers has been increasing rapidly since the welfare expansion after the financial crisis in the late 1990s, so that one of four elderly people depends on public transfers as their main income source in 2003. As of the same year, however, there existed and occupied 12% of the elderly households those who seemed eligible for the National Basic Livelihood benefit but did not receive any public assistance. To remove elderly poverty, government may need to improve welfare delivery system as well as to increase welfare budget for the poor. In the face of persistent elderly poverty and increasing demand for public support for the elderly, which will lead to increasing government debt, welfare policy needs targeting toward the neediest rather than expanding universal benefits that have less effect of income redistribution and heavier cost. Identifying every disadvantaged elderly in dire need for economic support and providing them with the basic livelihood security would be the most important and imminent responsibility that we all should assume to prepare for the growing aged population, and this also should accompany measures to utilize the elderly workforce with enough capability and strong will to work.

• The Korean Journal of Nuclear Medicine Technology
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• v.12 no.1
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• pp.66-73
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• 2008

Purpose: CA 19-9 need to examine a number of sample volume, and the postwar 200 U/ml concentration hook effect appears slight. Thus, the antibody-antigen reaction, and by reducing the amount of (sample volume), they can hook effect to minimize the impact of the sample volume and relevance know, I saw the hook effect. In addition, the current maximum of using the standard concentration of the reagent in 240 U/ml increase more than the standard concentration can be seen knows. Material and Method: 5 U/ml and under, make a few low concentration of serum pool from the high concentration of the sample hook effect together with a standard concentration of about 500 to meet the production. The reagents used in experiments are currently using SNUH NM experiment. Orignal method along with the experiment is to 25 ul sample volume (1 / 4), 50 ul (1 / 2), 100 ul (Orignal method) in the experiment. My greatest concentration of the reagent concentration of approximately two times the standard concentration of production. When was the last to make the first experiment, as measured by the standard concentration after that. The new inspection information through a standard solution modified by entering values in them. Results: 100 ul, and to apply the new standard concentration y = 1.3021x - 10.97, $R^2$ = 0.9844. Overall, the results showed a similar orignal method. Because of the concentration in the value of more than 240 U/ml, but it is an overall value that can be made out of a similar value When I put the 50 ul y = 1.045x + 9.5861, $R^2$ = 0.9428. Overall orignal method and the results of a similar value. 50 ul, and to apply the new standard concentration y=1.2006x+11.252, $R^2$=0.9423. Showing a slightly lower value compared with orignal method. Because of the concentration in the value of more than 240 U/ml, but it is an overall value that can be made out of a similar value. When I put the man 25 ul y=0.6012x+24.755, $R^2$=0.4033. Results showed that very small amounts of sample are insecure inside and showed a lower middle cpm orignal method and showed a lot of mismatched. Conclusions: 25 ul of the sample volume is not possible to use the instability had, when I put the 50 ul of the orignal method can be used to show a similar concentration. The new values are slightly lower concentration, The new values are slightly lower concentration, concentration, which are likely due to the lack of data has had a little gap between the sample showed 80 to 200 U/ml additional experiments seem to do. Apply a new 100 ul concentration values are applied to a large crowd is not even in sight. But this way the concentration of 100 to more 400 U/ml gather further experiments should possible adds.

• Korean Security Journal
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• no.36
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• pp.139-176
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• 2013

It is believed that the Koryo dynasty era is the period which has very special meaning with regard to the history of the VIP guard system. The guard system in the early Koryo dynasty time focused on the official protection for kings and their families with absolute royal authority. On the contrary, the guard system in the late Koryo dynasty time, especially military regime period, conducted providing private protection for military rulers and increasing their power. The official guard troops named 2Gun6Wii became just perfunctory organizations at that time. That is the reason why this study develops the discussion only about the guard system of the early Koryo time. The official VIP guard organizations under the government structure of the early Koryo period were Naegoonbu, Byeongbu and Joongchoowon. This study particularly reviewed the Joongchoowon with thorough research. In the meantime, the guard organizations under the military chart of the early Koryo period were 2Gun6Wii, Gonghakgoon, Geonryonggun and so on. 2Gun consisted of ungyanggun and yonghogun. They were the royal bodyguards. This study especially tried to review the substance of the Gonghakgoon, Geonryonggun with different point of view from other theories. The Gumowwii, one of 6 Wii, conducted many official duties such as royal palace protection, capital city Gaesung defence, area patrols, criminal apprehension and disturbance prevention. It also accomplished crowd control and convoy mission at the streets to respond emergency cases while carrying out VIP protection roles for kings and Chinese diplomats. Many bibliographies verified that the Chunwoowii was the royal bodyguards which helped kings during state ceremonies and grand meetings held by kings. Consequentially, it is true that this study discovered, analyzed and evaluated various references and research materials related with the guard system. It is meaningful that this study newly reviewed the organizations and functions of the guard system as one structure.

• KDI Journal of Economic Policy
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• v.30 no.2
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• pp.225-270
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• 2008

We analyze macroeconomic consequences of pay-as-you-go (PAYGO) public pension system with a simple overlapping generations model. Contrary to large body of existing literatures offering quantitative results based on simulation study, we take another route by adopting a highly simplified framework in search of qualitatively tractable analytical results. The main contribution of our results lies in providing a sound theoretical foundation that can be utilized in interpreting various quantitative results offered by simulation studies of large scale general equilibrium models. We present a simple overlapping generations model with a defined benefit(DB) PAYGO public pension system as a benchmark case and derive an analytical equilibrium solution utilizing graphical illustration. We also discuss the modifications of the benchmark model required to encompass a defined contribution(DC) public pension system into the basic framework. Comparative statics analysis provides three important implications; First, introduction and expansion of the PAYGO public pension, DB or DC, result in lower level of capital accumulation and higher expected rate of return on the risky asset. Second, it is shown that the progress of population aging is accompanied by lower capital stock due to decrease in both demand and supply of risky asset. Moreover, risk premium for risky asset increases(decreases) as the speed of population aging accelerates(decelerates) so that the possibility of so-called "the great meltdown" of asset market cannot be excluded although the odds are not high. Third, it is most likely that the switch from DB PAYGO to DC PAYGO would result in lower capital stock and higher expected return on the risky asset mainly due to the fact that the young generation regards DC PAYGO pension as another risky asset competing against the risky asset traded in the market. This theoretical prediction coincides with one of the firmly established propositions in empirical literature that the currently dominant form of public pension system has the tendency to crowd out private capital accumulation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.4
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• pp.513-521
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• 2019

The purpose of this research is to find out the preference of users on the characteristics of the subway sign blank. In detail, The purpose is to introduce the concept of designing various characteristics of the subway sign blank according to characteristics such as gender and age, etc. The methodology of this study is to investigate the preference of the characteristics of the characteristics of the subway sign blank space and analyze the preference of the whole group and the cluster group. A survey was conducted to investigate preferences. A cluster analysis was conducted to analyze the preferences. And a demographic and conjoint analysis was conducted for whole group and the cluster group. The attributes of the subway sign blank space for preference survey are as follow : top and bottom blank, side blank, border line blank, arrow thickness, 'station name' and 'line number' order. The results of the preference analysis are as follows. The importance of the attributes in the whole group is shown in the order of the border line blank, 'station name' and 'line number' blank, side blank, top and bottom blank, and arrow thickness. The cluster group is composed of 3 groups, 1 cluster is a woman who uses the subway almost every day, three to four times a week, and seems to prefer half the side blank. 2 crowd is the user who thinks that 60 or more subway signs are uncomfortable, and preferring the order of 'station name' + 'line number' order without border. The 3 clusters were men in their 20s and 30s, with a preference for 1/5 border line blank and thin arrow thickness. The conclusion is as follows. First, the characteristics of the subway sign blank must be designed consistently. However, it is necessary to consider various factors according to gender, age, and frequency of subway use for specific regions or routes. Secondly, It has been shown that, depending on the specific area or route, it is possible to design two or more types of design, not one type of standardized marking of the characteristics of the subway sign blank.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.