• Journal of Korea Trade
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• v.25 no.7
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• pp.41-55
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• 2021

Purpose - This paper empirically investigates the relationship between the Economic Complexity Index (ECI) and the level of development. Moreover, this research attempts to discover the determinants of ECI in the globalization wave. Design/methodology - Our empirical model considers the relationship between ECI and the level of development in middle- and high-income economies from 1995 to 2010 by using systemic qualitative analysis, including OLS, fixed-effects, and system GMM. Next, this research used OLS regression to find the determinants of ECI. In particular, we compared the effects of different factors on ECI in the different development stages. Findings - Our main findings can be summarized as follows: 1. If the ECI increases by 1, it could lead to an increase of about 30% in the level of development in middle- and high-income economies. 2. Human capital plays an important role in the development of and increase in ECI. 3. GVC participation and outflow FDI enhance an increase in ECI, in particular in middle-income economies. 4. The development of manufacturing industries is helpful to increase ECI; however, middle-income economies should pay more attention to their comparative advantage industries. 5. R&D has positive effects on the ECI. Originality/value - To the best of our knowledge, this is the first paper that uses systemic qualitative analysis to investigate the relationship between ECI and the level of development. The paper provides suggestions for policy makers to increase ECI under the current wave of globalization, in particular in middle-income economies.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.42-49
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• 2022

In recent years, Owner, Architects, and Contractor are increasingly collaborating with each other from pre construction phase in construction projects, which is called Early Contractor Involvement (ECI). In Japan, the ECI method has been introduced in several public building projects since 2015. The purpose of this study is mainly to clarify the characteristics of the ECI method in Japan and to compare the contract clauses of the ECI method in the UK and the USA. The results of the survey are as follows. (1) the ECI method was supposed to make it possible to achieve appropriate quality, cost, and construction period by reflecting Contractor's technology and know-how in the design documents and specifications. (2) According to the database, there were 27 cases of the ECI method in Japan from 2015 to 2021, of which 13 cases for which bidding information could be obtained had a variety of technical proposals, mainly VE proposals, depending on the project characteristics. (3), Japan's ECI method has very much in common with SBC + PCSA in the UK. On the other hand, ECI Method in Japan differs from in the UK in that Owner, Architect, and Contractor enter into a partnership agreement, which is similar to ConsensusDocs CD541 in the USA. (4) The ECI method in Japan has the following problems: Owner depends on Contractor for cost control, the division of roles among project members is complicated, and more work from Owner than the DBB method are required.

• 한국정보통신설비학회:학술대회논문집
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• 2003.08a
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• pp.183-197
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• 2003

• Journal of Advanced Navigation Technology
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• v.17 no.3
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• pp.271-278
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• 2013

In this paper, ECEF to ECI coordinate transformation algorithm which uses EOP parameters in GPS civil navigation message is introduced, and ECEF to ECI coordinate transformation simulation results were analyzed. The ECEF to ECI coordinate transformation includes GPS to UTC, and UTC to other types of time conversions and EOP data processing algorithms. The ECEF to ECI coordinate conversion algorithm was certified using real LEO satellite position, velocity GPS data, and EOP data which offered by the Earth Orientation Center.

• Journal of the Korean Society of International Agriculture
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• v.30 no.4
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• pp.277-284
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• 2018

Meat quality has always been one of the most important factors that controls the choice of pork consumers and is of great interest in the pig industry. In this study, we identified a single nucleotide polymorphism (SNP) in the enoyl-CoA delta isomerase 2 (ECI2) gene in Berkshire pigs (n = 430) by analyzed the association between the SNP and meat quality traits. The non-synonymous SNP in the ECI2 gene is located at c.608 C > G and resulted in an amino acid change from threonine to serine. Significant associations between the SNP and meat quality traits, such as redness (CIE a), and the $pH_{24hr}$, were revealed in both the dominant and co-dominant models, whereas carcass weight, drip loss, and fat content and moisture content were significantly associated only with the dominant model. In barrow, the SNP was significantly associated with CIE a, drip loss, and $pH_{24hr}$, whereas in gilt, only a significant relationship with moisture content was observed. GG genotype pigs had a higher $pH_{24hr}$ and lower drip loss. Because $pH_{24hr}$ and drip loss are considered the most important meat quality traits, GG genotype pork is high-quality meat compared to that from other genotypes. In conclusion, the SNP in the ECI2 gene is significantly associated with several meat quality traits. These traits and could be as genetic markers in molecular breeding programs for improving meat quality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.215-218
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• 2009

In this paper, we analyze the performance of interpolation in demosaicing techniques for single sensor digital camera. We choose BI(bilinear interpolation), ACPI(adaptive color plane interpolation), ECI(effective color interpolation), Ideal ACPI, and EECI(Enhanced effective color interpolation) in the literature of demosacing techniques since they provide low-complexity and substantial image quality. We survey the algorithms and simulate them. To evaluate the methods in terms of objective image quality and complexity, 24 Kodak images will be used in this experiment. Experimental results show that the ECI method is better than others in terms of image quality versus complexity.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.109-120
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• 2006

Enterprise Content Integration (ECI)is an IT strategy that improves enterprise' competitive advantages by integrating enterprise wide information and content into a unified view, which in turn supports efficient and effective decision making. Content Syndication Systems (CSS) is a solution that implements the ECI strategy. In semi-conductor industries, it is usual that enterprise content is scattered over tens of legacy systems. Therefore, engineers in semi-conductor companies spend a few hours to locate required engineering information on a daily basis as part of their jobs. In this paper, we develop an enterprise CSS system that integrates enterprise wide contents into a unified view that is suitable for semi-conductor industries. For this research, we first define enterprise CSS, then identify their systems requirements. Then we propose an architecture supporting the identified requirements, and present the implemented prototype. One of the most important requirements is the individualized subscription rule setting for engineering information. For this purpose, we developed methods to represent the information properties and subscription rules.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.11a
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• pp.322-323
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• 2002

다단임팩터와 입자하전기, 전류측정기를 결합하여 입자상물질의 크기분포를 실시간으로 모니터링 할 수 있는 기술에 대하여 기초적인 연구는 선행연구에서 수행되었으며, 다단임팩터의 성능평가 결과는 권순박 등(2002a)이 발표하였으며, 입자하전기에 대한 성능평가결과는 권순박 등(2002b)이 보고하였다. 이에 본 연구에서는 다단임팩터와 입자하전기 및 전류측정장치를 결합하여 입자상물질 실시간 모니터링을 위한 측정장치를 개발하였다. (중략)

• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.73-80
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• 2021

Objectives: Household overcrowding (HC) can contribute to both physical and mental disorders among the members of overcrowded households. This study aimed to measure the status of HC and its main determinants across the provinces of Iran. Methods: Data from 39 864 households from the 2016 Iranian Household Income and Expenditures Survey were used in this study. The Equivalized Crowding Index (ECI) and HC index were applied to measure the overcrowding of households. Regression models were estimated to show the relationships between different variables and the ECI. Results: The overall, urban, and rural prevalence of HC was 8.2%, 6.3%, and 10.1%, respectively. The highest prevalence of HC was found in Sistan and Baluchestan Province (28.7%), while the lowest was found in Guilan Province (1.8%). The number of men in the household, rural residency, the average age of household members, yearly income, and the household wealth index were identified as the main determinants of the ECI and HC. Conclusions: The study demonstrated that the ECI and HC were higher in regions near the borders of Iran than in other regions. Therefore, health promotion and empowerment strategies are required to avoid the negative consequences of HC, and screening programs are needed to identify at-risk families.