• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.98-118
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• 1999

This study deals with the knowledge acquisition activities along the growth stages of Korean ventures. This issue is very important in the three reasons. First, the target of the study-new ventures- is a pending issue and can be regarded as the engine of innovation in the Korean economy. Second, venture activities is so dynamic compared to those of the established companies and the study reflects its dynamic features. Third, the knowledge is becoming more important one among various resources, and knowledge management can be a timely issue. The main research questions are as follows : - How does the degree of knowledge domain, vary along the growth stages\ulcorner - Which knowledge domains are more influential on the performance along growth stages\ulcorner Major findings of the study are as follow: First, technological knowledge acquisition effort are most intensive at the start-up stage, while the management knowledge efforts are active at the growth stage. The degree of market knowledge acquisition efforts is almost the same along the stages. Second, the important knowledge domain, which influences on the performance, varies along the stages. The acquisition effort for product technology knowledge is more influential on the sales growth rate and has a negative effect on the return on assets at the start-up stage, while the management knowledge about administration is more influential on the return on assets at the growth stage. Finally the academic contributions and managerial implications of the study are presented and the future research directions are also suggested.

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.183-190
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• 2010

This paper selects length of berth, area of yard, unloading capacity and number of berth as the input indexes, and cargo turnover as output index to research the source of TFP(Total Factor Productivity) growth of 23 main ports in Korea. The major conclusions are as follows. The TFP of the trade ports in Korea is at the fluctuating stage, but it generally displays a rising trend, and it’s growth originate from the growth of technical efficiency. The Growth rates of TFP of trade ports in the different areas are different, and the sources of growth are also different, but the changing trends are basically the same. Four major factors to the increase of TFP are following: competition between ports, reform of property system, harbor-hinterland economic and international trade, modeling, imitation and innovation in management, technology and system.

• Journal of Forest and Environmental Science
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• v.39 no.4
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• pp.195-202
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• 2023

In this study, we sought to compare and evaluate the accuracy and predictive performance of machine learning algorithms for estimating the growth of individual Larix kaempferi trees in Gangwon Province, Korea. We employed linear regression, random forest, XGBoost, and LightGBM algorithms to predict tree growth using monitoring data organized based on different thinning intensities. Furthermore, we compared and evaluated the goodness-of-fit of these models using metrics such as the coefficient of determination (R²), mean absolute error (MAE), and root mean square error (RMSE). The results revealed that XGBoost provided the highest goodness-of-fit, with an R² value of 0.62 across all thinning intensities, while also yielding the lowest values for MAE and RMSE, thereby indicating the best model fit. When predicting the growth volume of individual trees after 3 years using the XGBoost model, the agreement was exceptionally high, reaching approximately 97% for all stand sites in accordance with the different thinning intensities. Notably, in non-thinned plots, the predicted volumes were approximately 2.1 m³ lower than the actual volumes; however, the agreement remained highly accurate at approximately 99.5%. These findings will contribute to the development of growth prediction models for individual trees using machine learning algorithms.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.398-403
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• 2009

The theoretical bases on characteristics of heat release rate in compartment of building for scenario of smoke management are introduced and the numerical applications to simple compartment model are carried out. The growth stage which is important for smoke management design is modelled as t-squared fire curve including fire growth coefficient with related to growth rate. The conditions for the happening of flashover is presented such as $600^{\circ}C$ of temperature or $20kW/m^2$ of radiation heat flux. After the flashover happen, the fire in compartment changes to fully developed fire having the characteristics of ventilation-controlled fire. As the result of numerical analysis to simple compartment model, the time to reach 900K under ceiling for condition of medium growth is twice for condition of fast growth.

• East Asian Journal of Business Economics (EAJBE)
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• v.4 no.3
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• pp.25-30
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• 2016

Small and Medium enterprises (SMEs) make important contributions to economic and social development of the country. The aim of this study was to determine the extent of financial management practices employed by the SME's and their effect on growth. This study was conducted quantitatively through descriptive research design; the data was collected from sample size of 120 of some SMEs operate in Mogadishu. Used questionnaire as data collection tool, the data analysis was done by using the statistical package SPSS version16, the data analyzed and presented by calculation, determining frequency, percentages, mean and standard deviation. Therefore the researchers found result revealed that extent of financial management is low among small and medium enterprises and also, that the financial management is significantly influence on the on growth of small and medium enterprises in Mogadishu Somalia. Furthermore the findings revealed that the cash management, accounts receivable and inventory management are low among SME. Also that most of the selected SME don not make financial plan to their business, at the end that most of the selected SME don not have formal accounting information system to their business.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.4
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• pp.1-7
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• 2003

Artificial ground greening, which is considered as a way for the greening of cities, should be constructed easily and maintained continuously. Thus it is necessary to use light soils for keeping in flexible formation and light load. And the garden should be managed optimally taking account for the characteristics of the soil and plant. But in most landscape green area, they are not under management. Mostly they are occasionally irrigated without nutrient by hand-operating. So this study was conducted to investigate plant growth by management methods and soil depth(15cm, 30cm). As a results of the different methods of management had effect on the plant growth and on the rate of flowering. When Hosta longipes were grown in different three management methods, control(rainfall), periodical irrigation, and nutri-irrigation(fertigation), the content of chlorophyll, the plant growth and the rate of flowering were higher in nutri-irrigation (fertigation) treatment than those in control(rainfall) and periodic irrigation. And nutrient contents of leaf are also higher. Between 15cm and 30cm soil depth, the plant growth of 15cm soil depth is better than that of 30 soil depth. According to these results on artificial ground greening, determination of optimal soil depth by plant species is required, And a specialist for nutrient management is demanded.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.48 no.6
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• pp.929-939
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• 2015

We studied the characteristics of age and growth of the Goldeyes rockfish Sebasetes thompsoni in the Ulleungdo and Dokdo areas by using 730 otoliths from February 2013 to February 2014. The lowest value of the marginal index was found in June once a year. The spawning period was estimated as April. Therefore, the duration from fertilization to the complete formation of the first annual growth ring is fourteen months. From the parameters calculated using the weighted average length of the year ring formation, the growth of S. thompsoni was demonstrated by the von Bertalanffy growth equation as $L_t=34.68(1-e^{-0.2113(t+0.7683)})$ for females and $L_t=29.79(1-e^{-0.2163(t+1.7964)})$ for males, $L_t=32.84(1-e^{-0.25(t+0.57)})$ for combined sex. Comparing with growth performance index(${\Phi}$) from these 4 offshore areas, parameter of S. thompsoni in Ulleungdo area was 2.4087, that of in Tong-yeong was 2.2835, that of in Aomori was 2.4077 and in Niigata was 2.3927. As a result, the value of Dokdo and Ulleungdo areas showed the highest.

• Journal of Korean Society for Quality Management
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• v.22 no.2
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• pp.51-68
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• 1994

Various growth models were each fitted onto the data sets in an attempt to determine which growth models achieved the best forecasts for differing types of growth data. Of six such models studied, some models do significantly better than others in predicting future levels of growth. It is recommened that Weibull and the Gompertz growth curve be considered along with Pearl model by those industries presently considering the implementation of substitution analysis in their life analysis. In the early stage of growth, linear estimation should suffice to give reasonable forecasts. In the latter stage, however, as more data become availavle, nonlinear estimation should be used.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.258-263
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• 2005

The purpose of this research is to present a practical method for efficiently monitoring a reliability growth process using AMSAA(Army Materiel Systems Analysis Activity) reliability growth model. The presented method is viable for identifying failure modes, incorporating design changes and monitoring reliability progress on an on-going basis during the early stages of a product development program. According to the Application Guide for EN 50126(RAM part for Rolling Stock), reliability growth monitoring is essential part of the main tasks of design phase in RAM growth monitoring. Implementation of reliability growth management program will provide very useful information on concept selection, product/process reliability, and cost effectiveness without too much time, money and engineering effort being spent on the development of failure suspect parts.

• Korea Trade Review
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• v.44 no.6
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• pp.247-265
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• 2019

This research focuses on the influences of FDI on the economic growth of four countries by Mekong river: Vietnam, Laos, Cambodia and Thailand. At the same time, the study also analyzes the contributing of economic growth to attract FDI inflow to these countries. The panel data during the period 1998-2017 were collected from World Bank. Empirical analysis figures out that GDP, mobile phone, labor force are the determinants affecting positive to FDI and vice versa exchange rate, wage are the negative factors. Secondly, FDI, export, exchange rate, government expenditure impact positively on economic growth but inflation and population have negative effect on the economic development. Thirdly, The FDI and economic growth have impact mutually in Vietnam, Laos, Cambodia and Thailand economy. FDI plays a very crucial role in contributing greatly to the economic development of the Mekong sub-region. The economic growth is higher, the FDI inflow is more attractive. From the results, some practical suggestions are offered to enhance the competitiveness in attracting FDI.