• Title/Summary/Keyword: Data share

Search Result 2,032, Processing Time 0.028 seconds

Effects of Price Discount on the Demand and Revenue of Oriental Medical Clinic (한방의료의 가격인하전략이 한방의료에 대한 수요와 경영수지에 미치는 영향)

  • Kim, Jin-Hyeon;;Park, Yeong-U
    • The Journal of Korean Medicine
    • /
    • v.17 no.2 s.32
    • /
    • pp.34-47
    • /
    • 1996
  • We have seen a sharp increase in the utilization rate of medical services since the launch of Nation Health Insurance system in 1989. However, the market share of oriental medicine in the Korean health sector has been gradually diminished mainly due to low insurance coverage and high price. Especially high price as an entry barrier to oriental medical services has played a major role in decreasing market share. This paper investigated the effects of price discount on the financial condition and market share of oriental medical institutions. Microeconomic theory and multiple regression analysis were used as a methodology in testing the alternative hypothesis: price discount of enveloped herb drug will result in increases in both the revenue and market share of oriental medical institutions. Data was collected from the statistical yearbook and sample survey. The price elasticity of demand for enveloped herb drug was estimated at 5.8 during 1987-1995 period, which means that a 1% decrease in price will bring about a 5.8% increase in the utilization of oriental medical services. The empirical result shows that a drastic price discount for the enveloped herb drug will eventually improve the financial status of the oriental medical institutions and enlarge the market share of oriental medicine in the Korean health care sector.

  • PDF

An Information Sharing System for Product Design Data Using WWW and STEP (웹과 STEP을 이용한 제품 설계 정보 공유 시스템)

  • 김철영;김남국;김영호;강석호
    • Korean Journal of Computational Design and Engineering
    • /
    • v.1 no.3
    • /
    • pp.203-214
    • /
    • 1996
  • An information sharing system, namely World Design View, is developed for browsing product design data on the World Wide Web environment. For the last few years information sharing has been rapidly emerging as an important research issue in the areas of concurrent engineering, product data management, virtual manufacturing, and so on. Since we are mainly concerned with product development, the key information that needs be communicated and shared is product data. The developed system puts the major advantages of STEP, OODB, and VRML together. The STEP standard provides a consistent data exchange format and application interfaces among different CAD/CAM systems. OODB is efficient and effective in dealing with complex data structures often found in engineering applications. Virtual worlds for 3-D product models can be created by VRML which is networked via the global Internet and hyperlinked with WWW. The World Design View system can support for members of virtual design teams, possibly distributed all over the world, to share 3-D shape information quickly and easily.

  • PDF

A Statistical Matching Method with k-NN and Regression

  • Chung, Sung-S.;Kim, Soon-Y.;Lee, Seung-S.;Lee, Ki-H.
    • Journal of the Korean Data and Information Science Society
    • /
    • v.18 no.4
    • /
    • pp.879-890
    • /
    • 2007
  • Statistical matching is a method of data integration for data sources that do not share the same units. It could produce rapidly lots of new information at low cost and decrease the response burden affecting the quality of data. This paper proposes a statistical matching technique combining k-NN (k-nearest neighborhood) and regression methods. We select k records in a donor file that have similarity in value with a specific observation of the common variable in a recipient file and estimate an imputation value for the recipient file, using regression modeling in the donor file. An empirical comparison study is conducted to show the properties of the proposed method.

  • PDF

A Bayesian uncertainty analysis for nonignorable nonresponse in two-way contingency table

  • Woo, Namkyo;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
    • /
    • v.26 no.6
    • /
    • pp.1547-1555
    • /
    • 2015
  • We study the problem of nonignorable nonresponse in a two-way contingency table and there may be one or two missing categories. We describe a nonignorable nonresponse model for the analysis of two-way categorical table. One approach to analyze these data is to construct several tables (one complete and the others incomplete). There are nonidentifiable parameters in incomplete tables. We describe a hierarchical Bayesian model to analyze two-way categorical data. We use a nonignorable nonresponse model with Bayesian uncertainty analysis by placing priors in nonidentifiable parameters instead of a sensitivity analysis for nonidentifiable parameters. To reduce the effects of nonidentifiable parameters, we project the parameters to a lower dimensional space and we allow the reduced set of parameters to share a common distribution. We use the griddy Gibbs sampler to fit our models and compute DIC and BPP for model diagnostics. We illustrate our method using data from NHANES III data to obtain the finite population proportions.

Interoperability of Spatial Data through Open Web Map Server

  • Cho, D.S.;Jang, I.S.;Min, K.W.;Park, J.H.
    • Proceedings of the KSRS Conference
    • /
    • 2003.11a
    • /
    • pp.488-490
    • /
    • 2003
  • Over the past few years, a number of studies have been made on web map services, which enable the GIS user to access spatial data through the web. They, however, have focused on only implementation techniques separately, such as map client implementation, map server implementation, communication between client and server, and the map data representation. Therefore, it is hard to share and practical use the spatial data, because they does not ensure interoperability in heterogeneous map servers. In this paper, we have designed and implemented the web map server with open architecture, which complies with the standard interfaces proposed by OpenGIS Consortium (OGC). In particular, we have extended the OGC’s interfaces for a map server to support one or more data sources. This paper has contributed to construction and practical use of web map services by newly proposing the method of implementation of a map server, which could be reused regardless of the types of data sources.

  • PDF

The Method of Data Synchronization Among Devices for Personal Cloud Services (퍼스널 클라우드 서비스를 위한 임의의 단말간 컨텐츠 동기화 방법)

  • Choi, Eunjeong;Lee, Jeunwoo
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.6 no.6
    • /
    • pp.377-382
    • /
    • 2011
  • This paper describes the method of data synchronization among devices for personal cloud services. Existing data synchronization for mobile devices is based on a central server to mobile devices or a PC to a mobile device. However, the purpose of this paper is to share user data in heterogeneous environments, without depending on central server. This technology can be applied to synchronize personal data between a device and a personal cloud storage for personal cloud services. The ad hoc synchronization needs a sync agent service discovery module, a user authentication module, a network adapter, and an application data synchronization module. The method described in this paper is better than existing synchronization technology based on client-server in availability, performance, scalability quality attributes.

Predicting required licensed spectrum for the future considering big data growth

  • Shayea, Ibraheem;Rahman, Tharek Abd.;Azmi, Marwan Hadri;Han, Chua Tien;Arsad, Arsany
    • ETRI Journal
    • /
    • v.41 no.2
    • /
    • pp.224-234
    • /
    • 2019
  • This paper proposes a new spectrum forecasting (SF) model to estimate the spectrum demands for future mobile broadband (MBB) services. The model requires five main input metrics, that is, the current available spectrum, site number growth, mobile data traffic growth, average network utilization, and spectrum efficiency growth. Using the proposed SF model, the future MBB spectrum demand for Malaysia in 2020 is forecasted based on the input market data of four major mobile telecommunication operators represented by A-D, which account for approximately 95% of the local mobile market share. Statistical data to generate the five input metrics were obtained from prominent agencies, such as the Malaysian Communications and Multimedia Commission, OpenSignal, Analysys Mason, GSMA, and Huawei. Our forecasting results indicate that by 2020, Malaysia would require approximately 307 MHz of additional spectrum to fulfill the enormous increase in mobile broadband data demands.

A Study on Big Data-Based Analysis of Risk Factors for Depression in Adolescents

  • Chun-Ok Jang
    • International Journal of Advanced Culture Technology
    • /
    • v.11 no.4
    • /
    • pp.449-455
    • /
    • 2023
  • The purpose of this study is to explore adolescent depression, increase understanding of social problems, and develop prevention and intervention strategies. As a research method, social big data was used to collect information related to 'youth depression', and related factors were identified through data mining and analysis of related rules. We used 'Sometrend Biz Tool' to collect and clean data from the web and then analyzed data in various languages. The study found that online articles about depression decreased during the school holidays (January to March), then increased from March to the end of June, and then decreased again from July. Therefore, it is important to establish a government-wide depression management monitoring system that can detect risk signs of adolescent depression in real time. In addition, regular stress relief and mental health education are needed during the semester, and measures must be prepared to deal with at-risk youth who share their depressed feelings in cyberspace. Results from these studies can be expected to provide important information in investigating and preventing youth depression and to contribute to policy development and intervention.

Computing Resource Sharing and Utilization System for Efficient Research Data Utilization (연구데이터 활용성 극대화 위한 컴퓨팅 리소스 공유활용 체계)

  • Song, Sa-kwang;Cho, Minhee;Lee, Mikyoung;Yim, Hyung-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.10a
    • /
    • pp.430-432
    • /
    • 2022
  • With the recent increase in interest in the open science movement in science and technology fields such as open access, open data, and open source, the movement to share and utilize publicly funded research products is materializing and revitalizing. In line with this trend, many efforts are being made to establish and revitalize a system for sharing and utilizing research data, which is a key resource for research in Korea. These efforts are mainly focused on collecting research data by field and institution, and linking it with DataON, a national research data platform, to search and utilize it. However, developed countries are building a system that can share and utilize not only such research data but also various types of R&D-related computing resources such as IaaS, PaaS, SaaS, and MLaaS. EOSC (European Open Science Cloud), ARDC (Australian Research Data Commons), and CSTCloud (China S&T Cloud) are representative examples. In Korea, the Korea Research Data Commons (KRDC) is designed and a core framework is being developed to facilitate the sharing of these computing resources. In this study, the necessity, concept, composition, and future plans of KRDC are introduced.

  • PDF

The Changes and the Determinants of Korea's Market Share in U.S., Japanese, and Other DECO Imports (한국수출(韓國輸出)의 시장점유율(市場占有率) 분석(分析) : 대미(對美)·日(일)·여타(餘他) OECD 수출실적(輸出實績)을 중심으로)

  • Yoo, Jung-ho
    • KDI Journal of Economic Policy
    • /
    • v.13 no.4
    • /
    • pp.3-30
    • /
    • 1991
  • This paper examines Korea's exports of manufactures to the United States, Japan, and other OECD member countries in the 1974-89 period, focusing on the market share in the trade partners' imports. It decomposes the growth of exports into various effects, following the "constant-market-shares" analysis. For this purpose, the entire period is divided into three subperiods: 1974-78, 1978-83, and 1983-89. The paper also estimates a regression model of the market share determination, using the data of Korea's market share in U.S. imports. In the three subperiods under study, Korea's exports grew at different paces for varied reasons. The average annual growth rate was 28 %, 11 %, and 21 %, respectively. A large drop in the "competitiveness effect", that is, in the market-share growth rate, was mainly responsible for the decline in the export growth rate. The largest drop in the competitiveness effect was found in the light manufactures exports in the second period. The market share did not regain the rapid growth momentum. The main reason for the rise in export growth rate in the last subperiod was the "market-size effect"-a rise in the growth rate of the trade partners' imports. According to the regression results, high intensities in physical and human capital tended to lower the Korean manufacturing industries' market shares in the United States. This negative correlation was stronger in the case of human capital intensity, suggesting that Korea is relatively poorer in human capital endowment than in physical capital endowment when compared to the United States. This negative correlation between the market share and each of the two intensities became weaker overtime. This may be interpreted as the consequence of both physical and human capital accumulation which were faster than the labor force growth. Depreciation of the Japanese yen was estimated to have a negative influence on the Korean manufacturing industries' market share in the United States, and this negative influence became stronger each year in the 1980s. This seems to reflect the intensifying competition between the two countries' exports in U.S. import markets. The Heavy and Chemical Industry Policy of the 1970s, which promoted a number of selected industries by providing them with various incentives and inevitably discriminated against the rest of the industries, was estimated to have had strong negative effects on the export performance of the light manufacturing industries. This finding and the largest decline in the "competitiveness effect" -found in the light manufactures exports in the 1978-83 period-indicate that the Heavy and Chemical Industry Policy was mainly accountable for the drop in the export growth rate during the period. On the other hand, the rise in export growth rate during the subsequent subperiod was greatly impacted by the large scale exchange rate realignments of major currencies, especially by the appreciation of the Japanese yen, and other changes in international economic conditions.

  • PDF