• Proceedings of the KSRS Conference
• /
• 2007.10a
• /
• pp.357-360
• /
• 2007

An asset tracking using wireless sensor network is concerned with geographical locations of sensor nodes. The limited size of sensor nodes makes them attractable for tracking service, at the same time their size causes power restrictions, limited computation power, and storage restrictions. Due to such constrained capabilities, the wireless sensor network basically assumes the failure of sensor nodes. This causes a set of concerns in designing asset tracking system on wireless sensor network and one of the most critical factors is location uncertainty of sensor nodes. In this paper, we classify the location uncertainty problem in asset tracking system into following cases. First, sensor node isn't read at all because of sensor node failure, leading to misunderstanding that asset is not present. Second, incorrect location is read due to interference of RSSI, providing unreliable location of asset. We implemented and installed our asset tracking system in a real environment and continuously monitored the status of asset and measured error rate of location of sensor nodes. We present experimental results that demonstrate the location uncertainty problem in asset tracking system using wireless sensor network.

• Korean journal of food and cookery science
• /
• v.23 no.2 s.98
• /
• pp.270-279
• /
• 2007

The purposes of this study were to analyze the profitability of audited restaurant franchise firms and to investigate the financial variables affecting profitability. This study decomposed profit variation into the three main factors comprising the Du Pont Identity (operating efficiency, asset use efficiency and financial leverage). The operating efficiency of restaurant franchise firms was on the rise until 2004, but dropped dramatically in 2005. Especially, the profit margin dropped from 13.46% in 2004 to 6.54% in 2005. The asset use efficiency has been decreasing since 2003. The total asset turnover ratio, which can be indicative of over-investment, dropped from 1.55 in 2003 to 1.50 in 2005. The financial leverage remained stable after 2002. There were major differences in debt accumulation among the firms, and the current level of debt was thought to be higher in the restaurant industry than in other industries. Based on the results of a multiple regression analysis, we concluded that the factors affecting ROE were the debt-equity ratio, total asset turnover and the size of the firm. The debt-equity ratio and total asset turnover had a significantly positive effect on ROE, while the firm size had a significantly negative effect on ROE. However, the current ratio and sales growth rate were not significant. The finding that firm size and profitability were negatively related implied that restaurant franchise firms should pursue qualitative growth rather than quantitative growth. There was no major difference in profitability between domestic brands and foreign brands. However, the domestic brand was more efficient in terms of asset usage than the foreign brand.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.2
• /
• pp.72-81
• /
• 2015

This paper studied the differences of the inventories asset turnover change ratio and several characteristics variable between large and small manufacturing firm group. Large and small firm group were determined based on number of labors and asset size. Several characteristics variable of firms such as assets size, sales growth rate, return on assets, leverage ratio, credit rating and age of firm were used to find out the differences of firm group. As a result, the inventory asset turnover change ratio of large firm was 5.16% and that of the middle and small firm was 9.3%. For the large firm, sales growth rate, ROA and credit rating affect inventory assets turnover change ratio. For the middle and small sized firm, Assets size, sales growth rate and credit rating affect inventory assets turnover change ratio. Using this result, we can say that manufacturing company need to consider their firm size and their characteristics to make their own operation strategy of inventory.

• Korean Journal of Construction Engineering and Management
• /
• v.3 no.3 s.11
• /
• pp.94-102
• /
• 2002

It expresses well result measurement system's the importance that 'It can not manage that can not measure.' In this way, there is no expressivity that express difficulty. While Corporation's tangible asset is possible measuring by specific amount of money of financial statement or loss and gain statement etc, Method of corporation's intangible asset measurement is much had been introduced, but some one is not presenting objective frame. This research did size of construction corporation's intangible Asset(Intellectual Asset) through knowledge asset storing accumulation model(XYZ model) that present in LG economy research institute so that do quantification objectively. Through this, can presume construction corporation's intrinsic value level.

• The Journal of Fisheries Business Administration
• /
• v.34 no.1
• /
• pp.31-44
• /
• 2003

The purpose of this study is to investigate empirically interaction among the financing decision, investment decision, and profitability by using 41 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. Sample period is 19 years from 1982 till 2000. This analysis method employs the two stage least squares(2SLS) estimation method. From the results of regression analysis by 2SLS estimation method, the adjusted $R^2$ values were high and the overall F values indicated significant. The empirical results of this study are as follows; (1) determinant factors of capital structure model for fisheries are profitability, firm-size, fisheries investment of total asset, and business risk. As pecking order theory explains, the higher is profitability the lower is debt ratio. The larger firm-size, the higher is debt ratio. The higher is fisheries investment of total asset and business risk, the higher is debt ratio. (2) determinant factors of investment model for fisheries are the change of sales, business risk, and debt ratio. These factors have positive relation to fisheries investment of total asset (3) determinant factors of profitability model for fisheries are fisheries investment of total asset and debt ratio. These factors have negative relation to profitability. On the basis of analysis results, on the government's financial policy for fisheries corporations, I suggests that with interest rate reduction, the government should lend more funds to solve the crisis in the financial structure of the fisheries firms

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.141-148
• /
• 2020

This paper analyzes factors affecting the debt maturity structure of enterprises listed on the Vietnam stock market. The panel data of research sample includes 549 non-financial listed enterprises on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) tool is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, debt maturity structure is the dependent variable. Capital structures, fixed assets, liquidity, firm size, asset maturity, profitability, corporate income tax, gross domestic product, inflation rate, credit growth scale are independent variables in the study. The model results show, that among the factors affecting the structure of debt maturity, the capital structure, asset structure, and firm size have the highest estimation coefficients, which shows that capital structure, asset structure, and firm size plays an important role in the decision-making process of debt maturity structure. The empirical results show that there are differences in the impact of these factors on the debt maturity structures in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to determine the target debt maturity structure in enterprises.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.16 no.1
• /
• pp.79-92
• /
• 2020

As the number of systems increases and the network size increases, automated attack prediction systems are urgently needed to respond to cyber attacks. In this study, we developed four types of information gathering sensors for collecting asset and vulnerability information, and developed technology to automatically generate attack graphs and predict attack targets. To improve performance, the attack graph generation method is divided into the reachability calculation process and the vulnerability assignment process. It always keeps up to date by starting calculations whenever asset and vulnerability information changes. In order to improve the accuracy of the attack target prediction, the degree of asset risk and the degree of asset reference are reflected. We refer to CVSS(Common Vulnerability Scoring System) for asset risk, and Google's PageRank algorithm for asset reference. The results of attack target prediction is displayed on the web screen and CyCOP(Cyber Common Operation Picture) to help both analysts and decision makers.

• Korean Journal of Construction Engineering and Management
• /
• v.12 no.4
• /
• pp.40-49
• /
• 2011

A number of BTL projects for educational facilities have been augmented because of the increase of newtown development and deflationary policy of class size for learning efficiency. As the operation and maintenance costs rapidly increase, the budget for operation and maintenance is expected to be short. Therefore the asset management maximizing asset value is required to clarify the budget plan and distribution and provide a qualitatively high service. The main objective of this research is to establish asset valuation process in educational facilities delivered by BTL project. In order to meet the research objective, the asset valuation process is established by literature reviews, expert advice, and lessons learned from the developed countries. The developed process includes depreciation by internal accounting law, the core element of valuation, and asset valuation process. The results of the research will be help to offer the qualitatively high service and explain the standard of budget plan. It will assist commencing the asset management system.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.25 no.3
• /
• pp.93-106
• /
• 2021

In this paper, an efficient hybrid numerical method for solving two-asset option pricing problem is presented based on the Crank-Nicolson and the radial basis function methods. For this purpose, the two-asset Black-Scholes partial differential equation is considered. Also, the convergence of the proposed method are proved and implementation of the proposed hybrid method is specifically studied on Exchange and Call on maximum Rainbow options. In addition, this method is compared to the explicit finite difference method as the benchmark and the results show that the proposed method can achieve a noticeably higher accuracy than the benchmark method at a similar computational time. Furthermore, the stability of the proposed hybrid method is numerically proved by considering the effect of the time step size to the computational accuracy in solving these problems.

• Journal of the Korea Safety Management & Science
• /
• v.1 no.1
• /
• pp.231-239
• /
• 1999

CAPM explains the rate of return for the risk asset by $\beta$, systematic risk. There are some assumption in CAPM. But CAPM can not explain the movement of stock price sufficiently due to limitation of the assumptions. Therefore many scholars study which variables with the exception of $\beta$ effect on the rate of return of risk asset for supplementing this limitation by using PER, size of firm etc.. But it will be natural that PER, size of firm etc. to be determinant factors of $\beta$ also effect on the abnormal rate of return, because PER, size of firm etc. used in their studies already effect on determination of $\beta$, . That is, the determinant factors of $\beta$ effect on determination of abnormal rate of return according as $\beta$, effects on abnormal rate of return. Therefore, this study tests empirically how the determinant factors of $\beta$, effect on determination of$\beta$, ,and how $\beta$ and the determinant factor of $\beta$ effect on the abnormal rate of return in CAPM.