• Proceedings of the Korean Society of Applied Pharmacology
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• 1994.04a
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• pp.233-233
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• 1994

인삼 성분이 학습 및 기억력 중진에 미치는 효과를 연구하기 위하여, 학습 및 기억력 저하를 유발하는 약물들에 대한 아답타겐 (상품명) 과 인삼 수 엑기스산의 효과를 관찰하였다. Ethylcholine aziridium ion(AF64A), scopolamine 및 morphine을 쥐 및 생쥐의 해마와 복강에 각 각 주입하여 학습 및 기억력 저하를 유발한 후 아답타겐을 경구 투여하여 학습 및 기억력에 미치는 효과를 수로시험을 통하여 측정하였다. 또한 인삼 수 엑기스산을 일주일 동안 복강 주사하여 각 효과를 수로시험을 통하여 측정하였다. 또한 인삼 수 엑기스산을 일주일동안 복강 주사하여 각종 신경계에 미치는 변화를 효소 활성도, 신경전달물질의 농도, 수용체 결합을 지표로 하여 살펴보았다. AF64A 투여군 중 플랫폼을 전혀 인지치 못한 군에 아답타겐을 투여시에는 투여 횟수에 따라 플랫폼을 인지하는 비율이 증가했다. 연습 후 일주일간 물을 투여한 대조군의 도달 시간에 큰 변화가 없음에 반해, 아답타겐을 투여시에는 3일 투여 후 최대 시간이 걸리고, 투여횟수가 증가할수록 점차 도달 시간이 단축되었다. 인공 뇌척수액 및 AF64A의 투여군에서 아답타겐을 5일간 투여한 경우 대조군보다 각각 3배 빠른 속도로 플랫폼을 기억하였다. 한편 scopola mine 투여시에는 아답타겐을 투여한 군이 투여하지 않은 군보다 약 3배 빨리 플랫폼에 도달하였으나 각 투여군의 매일의 도달 시간 차이에는 변화를 나타내지 않았다. 또한 4일 전에 아답타겐을 투여시에는 saline 및 merphine 투여시 약 1.4배 빨리 플랫폼을 인지하였다. 인삼 추출물을 7일 투여 했을 경우 선조체에서 도파민 합성 효소인 tyrosine hydroxylase 활성이 유의성 있게 증가했으며, 대사체인 DOPAC의 농도도 증가를 나타냈다. 그러나, 도파민, HVA및 대사율인 DOPAC/DA와 HVA/DA에는 변화를 보이지 않았다. 또한 선조체의 GABA농도는 약 66%로 낮아졌지만 AChE의 활성도는 변화가 없었다. 인삼 수 추출물을 2주일 투여시 선조체의 도파민 수용체의 특성변화는, D1 수용체의 친화력에는 변화가 없는 반면, 최대 결합 수용체 수는 약간 낮아졌고, D2 수용체의 경우 최대 결합 수용체수는 변화가 없었으나 친화력은 감소하였다. 또한 피질의 benzodiazipine수용체 결합 친화력에는 변화가 없는 반면 최대 결합 수용체 수는 약 15%의 증가를 나타내었고 연수의 benzodiazepine 및 피질의 GABA 수용체의 특성에는 에는 변화를 나타내지 않았다. 이상의 결과, AF64A, 아급성 scopolamine 및 급성 morphine꽈 투여로 학습능이 저하되고 아답타겐을 경구 투여시엔 저하된 학습능력 빛 기억력의 증가를 보였다. 또한 본 결과는 인삼성분 중에는 도파민 및 GABA신경계에 영향을 주는 성분이 있음을 제시하였다.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.603-623
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• 2013

This paper proposes analyzing monthly rainfall patterns using copula and pricing related rainfall insurance using it. We analyze 30-year monthly precipitation data for 9 Korean cities between June and September using copula showing so that it can effectively generate realistic monthly rainfall patterns. In addition, we show that our copula rainfall models can be used in pricing various kinds of rainfall insurances effectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.6
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• pp.571-579
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• 2004

The purpose of the study is to know the current status of the assets backed securities(ABS) in Korea. ABS enables banks, depository institutions, finance companies, and other corporations to liquefy their assets (i.e., raise cash by borrowing against assets) and develop new sources of capital. ABS are bonds that represent pools of loans of similar types, duration and interest rates. By selling their loans to SPC, the originator recover cash quickly, enabling them to make more loans. The ABS market in Korea has grown so rapidly since Financial Crisis in Korea. In current, So many different types of loans are securitized and sold in the investment markets. For more prospering ABS in Korea, some problems in ABS should be make up.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.8B
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• pp.760-767
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• 2009

While network evolution toward all IP based wired and wireless converged network is on the move, services are being progressed into converged and complex services from simply coupled services, and telecommunication operators are developing new technologies which enable users to move between heterogeneous networks without discontinuity of a current service. In this paper, we propose a IP handover mechanism which reduces ping-pong effect during IP handover between WLAN and CDMA2000 1x EV-DO Rev.A neworks. We present stability and enhanced latency of the proposed IP handover mechanism by experimentation. The mechanism was developed under the 3rd phase of BcN project.

• Journal of Service Research and Studies
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• v.4 no.1
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• pp.123-132
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• 2014

In this study, the service concept was explained, which could be applied to the development process of new service in service design specially. The service concept has the important role in decision making in the service planning stage as to the new strategic service development or service remodelling. This service concept is very useful for customized operational planning or service recovery through the combination of various service element, and for reviewing the possibility of service's success as of customer's acceptance related to business model throughout the service concept test. Finally, in this study, some models are suggested that the service development model including the service concept, also the test model about service concept in the process of service development.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.414-426
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• 2014

The purpose of this study is to examine the effects of business startup attributes on the overconfidence of business startup and entrepreneur's attitude in foodservice industry. To achieve this, a survey was carried out to 300 entrepreneurs in the foodservice industry through October 1 to October 30, 2012. The results were as follows. First, entrepreneur's characteristics, funds for business startup, locations and products had a statistically significant positive effect on the overconfidence of business startup(p<.05). Second, funds for business startup, locations and products had a statistically significant positive effect on entrepreneurs' attitude(p<.01). Third, the overconfidence of business startup had a statistically significant positive effect on entrepreneurs' attitude(p<.001). The findings stated above mean that knowledge or experience related to specialized management mind as entrepreneur's characteristic factors are just as important, and customers' use and choice of restaurants are also connected to stable management when the floating population of them are located to a suitable place in combination with product characteristics in enough financing and preparation based on this, showing entrepreneur's positive attitude through stable management along with confidence.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.239-244
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• 2015

We can build regular relationships with customers by integrating SNS (Social Networking Service) and internet shopping mall functions. For example of direct dealing of agricultural products, consumers can find news of regular sellers (seeding, farming, harvesting and new products) in the timeline at their SNS home. Then, they can purchase the necessary products by one click motion. The sellers provide news and discount information for building regular customers. Besides these SNS personal connection building, our system provides shopping mall functions to consumer's SNS home pages with auto classified catalog of products. Then, consumes easily find necessary products and these purchase may lead to regular relationships with sellers. Consumers may redistribute recommendations and reviews and it enables direct communications between consumers who are unknown to each other.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.59-66
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• 2013

Insurance has been preferential treatment than other financial products for risk ensure as a original function in tax law. However, the recent insurance products is being released in a variety of ways combined with investment and savings, as well as risk ensure. In addition, as the insurer's sales approach including to tax avoidance, tax saving strategies, tax policy associated with the tax-free savings-type insurance has been criticized. The government amended Article 25 of the Enforcement Decree of the Income Tax Act 2013 in order to prevent tax avoidance and equity among other financial instruments, but there are still many problems exist. this study looks for the validity of the tax policies of savings-type insurance In terms of the Enforcement Decree of the Income Tax Act as amended in 2013, and derived for ways to improve.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.59-67
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• 2021

Blockchain technology began in 2008 when an unidentified person named Satoshi Nakamoto proposed a cryptocurrency called Bitcoin. Satoshi Nakamoto had distrust of the existing financial system and wanted to implement a financial system that is robust against hacking or mannipulation without a middleman such as a bank through blockchain technology. Satoshi proposed a blockchain as a technology to prevent the creation of the bitcoin and forging of transactions, and through this, the functions of issuance, transaction, and verification of currency were implemented. Since then, Ethereum, a cryptocurrency that can implement the smart contract on the blockchain, has been developed, allowing financial products that require complex contracts such as deposits, loans, insurance, and derivatives to be brought into the area of cryptocurrency. In addition, it is expanding the possibility of substituting products provided by financial institutions through combination with real assets. These applications are defined as Decentralized Finance (DeFi). This paper was prepared to understand the overall technical understanding of DeFi and to introduce the services currently in operation. First, the technologies and ecosystems that implement the overall DeFi are explained, and then the representative DeFi services are categorized by feature and described.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.19-42
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• 2012

Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.